Transparent double-sided display method and display system

Abstract

The invention relates to the technical field of data processing, and provides a transparent double-sided display method and system, and the method comprises the steps: obtaining image data needing to be displayed, carrying out the pixel partitioning processing of the image data, generating a first partition image, a second partition image and a third partition image, carrying out the different processing of different partitions, and carrying out the display of the first partition image, the second partition image and the third partition image. And generating a double-sided driving signal, and controlling the transparent display screen by using the double-sided driving signal to realize double-sided display of the transparent display screen. According to the invention, the image data is acquired and pixel partitioning processing is carried out to obtain different partitions, the partitions are processed to generate the double-sided driving signal, and the transparent display screen is controlled by using the double-sided driving signal, so that double-sided display of the transparent display screen is realized, and the display effect of the transparent display screen is improved. The transparent display screen can display information more clearly and clearly during double-sided display, and the problem that the image quality is not stable enough in the existing transparent display technology is solved.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular to a transparent double-sided display method and a display system. Background Art

[0002] Transparent display technology has developed rapidly in recent years and is widely used in advertising display, information release, smart home and other fields. With the advancement of technology, the performance and application scenarios of transparent display screens are constantly expanding, and the market demand is increasing. Transparent display screens can provide information and visual effects without blocking the line of sight, meeting people's expectations for new display technology.

[0003] Among the related technical means, liquid crystal display, organic light emitting diode and other technologies are used to achieve transparent display. These technologies adjust the materials and structures to make the display screen have a certain degree of transparency while ensuring the brightness and color reproduction of the image. The existing technology mainly achieves the display effect of information by controlling the transmittance of the pixels of the display screen.

[0004] Regarding the above technical solution, although the function of information display can be realized through the existing transparent display technology, there is a problem of unstable image quality in terms of brightness, contrast, color reproduction, etc. Summary of the invention

[0005] In order to improve the problem of unstable image quality in the existing transparent display technology, the present application provides a transparent double-sided display method and a display system.

[0006] The present invention provides a transparent double-sided display method, which is applied to a transparent display screen. The display method comprises: acquiring image data to be displayed, performing pixel partitioning processing on the image data to generate a first partition image, a second partition image, and a third partition image; applying dynamic brightness adjustment processing to the first partition image to generate a brightness optimized image, performing pixel reconstruction processing on the brightness optimized image and the second partition image to generate a front image; performing color shift correction on the front image to generate a first color corrected image and a second color corrected image, performing pixel transmittance optimization processing on the first color corrected image to generate a transmittance optimized image, and performing pixel reconstruction processing on the transmittance optimized image and the second color corrected image. Dynamic contrast enhancement processing is performed to generate a contrast enhanced image and a light adaptation image; frame synchronization correction processing is performed on the contrast enhanced image to generate a synchronization optimized image, pixel fusion processing is performed on the synchronization optimized image and the light adaptation image to generate an optimized front image, the third subarea image is subjected to ambient light adaptation processing using the optimized front image to generate an environment adaptation image, frame control fusion processing is performed on the environment adaptation image and the synchronization optimized image to generate a rear image and a dynamic driving signal; fusion correction processing is performed on the rear image and the dynamic driving signal to generate a double-sided driving signal, and the transparent display screen is controlled using the double-sided driving signal to achieve double-sided display of the transparent display screen.

[0007] As a preferred solution, the steps of acquiring image data to be displayed, performing pixel partitioning processing on the image data, and generating a first partition image, a second partition image, and a third partition image include: using a high-speed sensor to acquire a digital signal to be displayed, preprocessing the digital signal, extracting effective pixel signals, generating image data, and performing digital-to-analog conversion on the image data using a digital signal decoding algorithm to obtain an original image sequence after frame serialization processing; performing inter-frame alignment on the original image sequence based on the Lucas-Kanade optical flow method to generate an aligned image sequence, and removing background noise from the aligned image sequence to generate a clear image sequence and a residual image sequence; performing pixel partitioning processing on the clear image sequence through a K-means clustering algorithm to generate a basic partition image, and using a fast Fourier transform to fuse the basic partition image with the residual image sequence to generate a partition residual image; and performing pixel feature separation on the partition residual image based on the histogram equalization technology to generate a first partition image, a second partition image, and a third partition image.

[0008] As a preferred solution, the steps of applying dynamic brightness adjustment processing to the first partition image to generate a brightness optimized image, and performing pixel reconstruction processing on the brightness optimized image and the second partition image to generate a front image include: obtaining ambient light brightness parameters through an ambient light sensor, and based on the ambient light brightness parameters, applying gamma transform to perform brightness compensation on the first partition image to generate a dynamic brightness compensated image and a brightness offset image; performing frame synchronization adjustment on the dynamic brightness compensated image and the brightness offset image according to a preset first dynamic time warping algorithm to generate a brightness optimized image; applying a color matching method based on Mahalanobis distance to match and analyze the pixel characteristics of the brightness optimized image with the color distribution characteristics of the second partition image to generate a matching optimized image and a residual optimized image; using an interpolation algorithm to perform pixel reconstruction on the matching optimized image and the residual optimized image to generate a preliminary reconstructed image, and performing edge refinement on the preliminary reconstructed image to generate an edge enhanced image; performing pixel equalization on the edge enhanced image through a gamma correction algorithm to generate a balanced optimized image; and inputting the balanced optimized image into an optical reconstruction model based on a finite difference method to generate a front image.

[0009] As a preferred solution, the step of applying a color matching method based on Mahalanobis distance to match and analyze the pixel characteristics of the brightness optimized image with the color distribution characteristics of the second partition image to generate a matching optimized image and a residual optimized image includes: performing color component separation on the brightness optimized image through CIELAB color space conversion to generate a LAB color component image, applying a color distribution comparison method based on cosine similarity to match and analyze the LAB color component image with the second partition image to generate a pixel matching factor; performing regional fusion processing on the pixel matching factors through a fusion algorithm to generate a matching optimized image, and performing residual separation on the matching optimized image using an edge feature extraction method based on the Sobel operator to generate a residual optimized image.

[0010] As a preferred solution, the steps of performing color shift correction on the front image to generate a first color corrected image and a second color corrected image, performing pixel transmittance optimization processing on the first color corrected image to generate a transmittance optimized image, and performing dynamic contrast enhancement processing on the transmittance optimized image and the second color corrected image to generate a contrast enhanced image and a light adaptation image include: performing color shift correction on the color components of the front image by a Gray World algorithm, and generating a first color corrected image and a second color corrected image based on the adjustment result; performing Gamma transformation on pixel values ​​in the first color corrected image by applying a Gamma correction algorithm to generate a transmittance optimized image, and performing local contrast enhancement on the transmittance optimized image and the second color corrected image by applying a CLAHE algorithm to generate a contrast enhanced image; and performing light intensity adaptation processing on the contrast enhanced image by using a preset light intensity matching model to generate a light adaptation image.

[0011] As a preferred solution, the steps of performing frame synchronization correction processing on the contrast enhanced image to generate a synchronous optimized image, performing pixel fusion processing on the synchronous optimized image and the light adaptation image to generate an optimized front image, performing ambient light adaptation processing on the third partition image using the optimized front image to generate an environmental adaptation image, performing frame control fusion processing on the environmental adaptation image and the synchronous optimized image to generate a rear image and a dynamic drive signal include: performing inter-frame time axis deviation detection on the contrast enhanced image based on a preset second dynamic time warping algorithm to generate a frame synchronization adjustment factor, and applying Kalman filtering technology to perform frame sequence time smoothing processing on the contrast enhanced image , generate a frame correction image; perform denoising optimization on the frame correction image through a time domain filtering technology based on bilateral filtering to generate a synchronous optimization image, use pixel-level fusion technology to fuse the synchronous optimization image with the light adaptation image to generate an optimized front image; apply a brightness equalization algorithm to optimize the brightness distribution of the optimized front image to generate a brightness adjustment image, use a sensor to obtain the illumination characteristics of ambient light, perform ambient light matching analysis on the brightness adjustment image and the third partition image based on the illumination characteristics, and generate an environment adaptation image; perform time domain fusion on the environment adaptation image and the synchronous optimization image through a frame control algorithm to generate a rear display image and a dynamic drive signal.

[0012] As a preferred solution, the steps of fusing and correcting the rear image and the dynamic driving signal to generate a double-sided driving signal, and controlling the transparent display screen using the double-sided driving signal to realize double-sided display of the transparent display screen include: extracting local features of the rear image by a scale-invariant feature transformation algorithm to generate a local feature image, performing frame synchronization adjustment on the dynamic driving signal and the local feature image by an optical flow method to generate a synchronized feature image; adjusting the brightness of the synchronized feature image based on a histogram matching algorithm to generate a global brightness correction image, fusing the global brightness correction image with the dynamic driving signal using a pixel-level image fusion technology to generate an optimized fused image; performing transmittance compensation on the optimized fused image by a multi-scale Retinex algorithm to generate a transmittance optimized image, performing time optimization on the transmittance optimized image by a frame synchronization algorithm to generate a double-sided driving signal; inputting the double-sided driving signal into a driving circuit of the transparent display screen to drive the transparent display screen to perform double-sided image synchronous output, and completing double-sided display of the transparent display screen.

[0013] The present application also provides a transparent double-sided display system, which is applied to a transparent display screen, including: an acquisition unit, which is used to acquire image data to be displayed, and perform pixel partitioning processing on the image data to generate a first partition image, a second partition image, and a third partition image; an adjustment unit, which is used to apply dynamic brightness adjustment processing to the first partition image to generate a brightness optimized image, and perform pixel reconstruction processing on the brightness optimized image and the second partition image to generate a front image; a correction unit, which is used to perform color shift correction on the front image to generate a first color corrected image and a second color corrected image, and perform pixel transmittance optimization processing on the first color corrected image to generate a transmittance optimized image, and perform pixel reconstruction processing on the transmittance optimized image and the second color corrected image The method comprises the steps of: performing dynamic contrast enhancement processing on the contrast enhancement image to generate a contrast enhancement image and a light adaptation image; a fusion unit is used to perform frame synchronization correction processing on the contrast enhancement image to generate a synchronization optimization image, performing pixel fusion processing on the synchronization optimization image and the light adaptation image to generate an optimized front image, performing ambient light adaptation processing on the third subarea image using the optimized front image to generate an environment adaptation image, performing frame control fusion processing on the environment adaptation image and the synchronization optimization image to generate a rear image and a dynamic driving signal; and a control unit is used to perform fusion correction processing on the rear image and the dynamic driving signal to generate a double-sided driving signal, and using the double-sided driving signal to control the transparent display screen to realize double-sided display of the transparent display screen.

[0014] Compared with the prior art, the present application has the following beneficial effects: clear display and high image quality. By acquiring image data and performing pixel partitioning processing, different partitions are obtained, and dynamic brightness adjustment, pixel reconstruction, color shift correction, pixel transmittance optimization, dynamic contrast enhancement processing, frame synchronization correction, pixel fusion, ambient light adaptation and frame control fusion processing are performed to generate a double-sided drive signal, and the double-sided drive signal is used to control the transparent display screen to achieve double-sided display of the transparent display screen, improve the display effect of the transparent display screen, so that it can maintain high-quality image display effects under different lighting conditions, ensure the stability and smoothness of the image, and enable the transparent display screen to present information more clearly and vividly when displayed on both sides, thereby improving the problem of unstable image quality in the existing transparent display technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0016] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0017] Figure 1 It is a flow chart of a transparent double-sided display method and a display system provided by an embodiment of the present invention; Figure 2 It is a schematic structural block diagram of a transparent double-sided display method and a display system provided by an embodiment of the present invention.

[0018] Description of reference numerals: 10. Transparent double-sided display system; 11. Acquisition unit; 12. Adjustment unit; 13. Correction unit; 14. Fusion unit; 15. Control unit. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0021] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0022] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0023] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0024] Embodiment 1: like Figure 1 As shown, the present application provides a transparent double-sided display method, which is applied to a transparent display screen. The display method includes steps S100 to S500.

[0025] Step S100: acquiring image data to be displayed, performing pixel partitioning processing on the image data, and generating a first partition image, a second partition image, and a third partition image.

[0026] In this step, the image data to be displayed is obtained and divided into multiple pixel areas using an image processing algorithm to generate a first partition image, a second partition image, and a third partition image respectively. Specifically, the image partition algorithm is used to divide the input image data according to preset partition rules to ensure that the pixels of each partition image are evenly distributed for subsequent processing.

[0027] For example, in advertising display, the acquired image data may be advertising material, which is divided into different areas through partitioning processing to meet the double-sided display requirements of the transparent display screen.

[0028] Step S200: Apply dynamic brightness adjustment processing to the first subarea image to generate a brightness optimized image, and perform pixel reconstruction processing on the brightness optimized image and the second subarea image to generate a front image.

[0029] In this step, the first sub-area image is dynamically adjusted in brightness to improve the brightness and clarity of the image; specifically, a dynamic brightness adjustment algorithm is used to adjust the brightness of the first sub-area image in real time according to the ambient lighting conditions, so that it can maintain a good display effect in different lighting environments. Then, the brightness optimized image and the second sub-area image are pixel reconstructed to generate the front image.

[0030] For example, in smart home applications, the notification information displayed on the transparent display needs to dynamically adjust the brightness according to changes in indoor lighting to ensure that users can read the information clearly.

[0031] Step S300: perform color shift correction on the front image to generate a first color corrected image and a second color corrected image; perform pixel transmittance optimization processing on the first color corrected image to generate a transmittance optimized image; perform dynamic contrast enhancement processing on the transmittance optimized image and the second color corrected image to generate a contrast enhanced image and a light adaptation image.

[0032] In this step, the color shift correction technology is applied to the front image to generate the first color correction image and the second color correction image to ensure the accuracy of the displayed color; specifically, the color correction algorithm is used to correct the color shift in the image caused by equipment or environment. Then, the pixel transmittance optimization processing is performed on the first color correction image to improve the transparency of the image and generate a transmittance optimized image. Next, the transmittance optimized image and the second color correction image are subjected to dynamic contrast enhancement processing to generate a contrast enhanced image and a light adaptation image to improve the contrast and visual effect of the image.

[0033] For example, in public information release, transparent display screens need to accurately display various types of information, and through color shift correction and contrast enhancement, ensure that the information is clearly visible in different environments.

[0034] Step S400, perform frame synchronization correction processing on the contrast enhanced image to generate a synchronous optimized image, perform pixel fusion processing on the synchronous optimized image and the light adaptation image to generate an optimized front image, use the optimized front image to perform ambient light adaptation processing on the third partition image to generate an environment adaptation image, perform frame control fusion processing on the environment adaptation image and the synchronous optimized image to generate a rear image and a dynamic drive signal.

[0035] In this step, the contrast enhanced image is subjected to frame synchronization correction to generate a synchronous optimized image to ensure the stability of the image display; specifically, the image frame rate is adjusted through a frame synchronization correction algorithm to synchronize it with the refresh rate of the display device. Then, the synchronous optimized image and the light adaptation image are subjected to pixel fusion processing to generate an optimized front image. Next, the third partition image is subjected to ambient light adaptation processing using the optimized front image to generate an environmental adaptation image to ensure the display effect of the image under different lighting conditions. Finally, the environmental adaptation image and the synchronous optimized image are subjected to frame control fusion processing to generate a rear image and a dynamic drive signal to control the display of the transparent display screen.

[0036] For example, in car displays, transparent displays need to adjust according to changes in external light to provide stable display of navigation information and entertainment content.

[0037] Step S500: performing fusion correction processing on the rear image and the dynamic driving signal to generate a double-sided driving signal, and using the double-sided driving signal to control the transparent display screen to achieve double-sided display of the transparent display screen.

[0038] In this step, the rear image and the dynamic driving signal are fused and corrected to generate a double-sided driving signal to ensure the synchronization and consistency of the double-sided display. Specifically, a fusion correction algorithm is used to correct the rear image and the dynamic driving signal to match the display characteristics of the transparent display. Finally, the transparent display is controlled by the double-sided driving signal to achieve double-sided display of the transparent display.

[0039] For example, in a shopping mall window display, a transparent display can simultaneously display different product information to attract more customers' attention.

[0040] In this step, by acquiring the image data to be displayed, the image data is subjected to pixel partitioning processing to generate a first partition image, a second partition image, and a third partition image. Next, dynamic brightness adjustment processing is applied to the first partition image to generate a brightness optimization image, and the brightness optimization image and the second partition image are subjected to pixel reconstruction processing to generate a front image. Then, color offset correction is performed on the front image to generate a first color correction image and a second color correction image, and pixel transmittance optimization processing is further performed on the first color correction image to generate a transmittance optimization image, and the transmittance optimization image and the second color correction image are subjected to dynamic contrast enhancement processing to generate a contrast enhancement image and a light adaptation image. Next, frame synchronization correction processing is performed on the contrast enhancement image to generate a synchronization optimization image, and pixel fusion processing is performed on the synchronization optimization image and the light adaptation image to generate an optimized front image, and the third partition image is subjected to ambient light adaptation processing using the optimized front image to generate an environment adaptation image, and finally the environment adaptation image and the synchronization optimization image are subjected to frame control fusion processing to generate a rear image and a dynamic drive signal, and the transparent display screen is controlled to realize double-sided display.

[0041] By introducing technical means such as dynamic brightness adjustment, color shift correction and contrast enhancement, the display effect of the transparent display screen is significantly improved. Through pixel processing and ambient light adaptation technology, the display screen can maintain high-quality image display effects under different lighting conditions. The application of frame synchronization correction and dynamic drive signals ensures the stability and smoothness of the image, so that the transparent display screen can present information more clearly and vividly when displayed on both sides, meeting users' demand for high-quality display effects and improving the problem of unstable image quality in existing transparent display technology.

[0042] Embodiment 2: In step S100, a high-speed sensor is used to obtain a digital signal to be displayed, the digital signal is preprocessed, an effective pixel signal is extracted, image data is generated, and a digital signal decoding algorithm is used to perform digital-to-analog conversion on the image data to obtain an original image sequence after frame serialization processing.

[0043] The digital signal to be displayed is acquired by using a high-speed sensor, and preprocessed to extract the effective pixel signal to generate image data. Specifically, the image data is converted from digital to analog using a digital signal decoding algorithm to obtain the original image sequence after frame serialization processing.

[0044] For example, in advertising display, this method can be used to acquire and process digital signals in real time to generate high-quality original image sequences for display on transparent display screens.

[0045] Based on the Lucas-Kanade optical flow method, the original image sequence is aligned between frames to generate an aligned image sequence, and the background noise of the aligned image sequence is removed to generate a clear image sequence and a residual image sequence.

[0046] In this step, the original image sequence is aligned between frames based on the Lucas-Kanade optical flow method to generate an aligned image sequence. Specifically, the Lucas-Kanade optical flow method is used to estimate and correct the motion of the images of consecutive frames to eliminate the displacement error between frames. Then, the background noise of the aligned image sequence is removed to generate a clear image sequence and a residual image sequence.

[0047] For example, in an intelligent monitoring system, this step can effectively eliminate camera jitter and background noise, generating a clear and stable image sequence for subsequent processing.

[0048] The K-means clustering algorithm is used to perform pixel partitioning on the clear image sequence to generate a basic partition image. The basic partition image is fused with the residual image sequence using fast Fourier transform to generate a partition residual image.

[0049] The K-means clustering algorithm is used to perform pixel partitioning on the clear image sequence to generate basic partition images. Specifically, the K-means clustering algorithm is used to cluster the image pixels according to similarity to generate several basic partition images. Then, the basic partition images are fused with the residual image sequence using fast Fourier transform to generate partition residual images.

[0050] For example, in medical image processing, this method can separate different tissue regions and fuse residual information to generate images with greater diagnostic value.

[0051] The pixel characteristics of the subarea residual image are separated based on the histogram equalization technology to generate a first subarea image, a second subarea image and a third subarea image.

[0052] The pixel characteristics of the partitioned residual image are separated by the histogram equalization technology to generate the first partitioned image, the second partitioned image and the third partitioned image; specifically, the pixel intensity distribution of the image is equalized by the histogram equalization technology to enhance the contrast and separate the pixel areas with different characteristics.

[0053] For example, in aerial image processing, histogram equalization can improve the contrast of the image, clearly distinguish different terrain and land features, and generate detailed partition images.

[0054] In step S200, an ambient light brightness parameter is obtained through an ambient light sensor, and based on the ambient light brightness parameter, a gamma transform is applied to perform brightness compensation on the first subarea image to generate a dynamic brightness compensation image and a brightness offset image.

[0055] An ambient light sensor is used to obtain ambient light brightness parameters, and based on the ambient light brightness parameters, a gamma transform is applied to perform brightness compensation on the first partition image to generate a dynamic brightness compensation image and a brightness offset image; specifically, according to changes in the ambient light brightness parameters, the gamma value is dynamically adjusted to compensate and optimize the brightness of the first partition image.

[0056] For example, in outdoor advertising displays, ambient light sensors can be used to detect the surrounding light intensity in real time and adjust the brightness through gamma conversion to ensure that the advertising content is clearly visible under different lighting conditions.

[0057] The dynamic brightness compensation image and the brightness offset image are frame-synchronized and adjusted according to a preset first dynamic time warping algorithm to generate a brightness optimized image.

[0058] The dynamic brightness compensation image and the brightness offset image are frame-synchronized by a preset first dynamic time warping algorithm to generate a brightness optimized image. Specifically, the first dynamic time warping algorithm is applied to adjust and match the time axes of the two so that they remain synchronized in the time dimension to generate a brightness optimized image.

[0059] For example, in real-time video processing, the first dynamic time warping algorithm can effectively synchronize image frames of different brightness to ensure the consistency and stability of video display.

[0060] The color matching method based on Mahalanobis distance is used to match and analyze the pixel characteristics of the brightness optimized image and the color distribution characteristics of the second partition image to generate a matching optimized image and a residual optimized image.

[0061] A color matching method based on Mahalanobis distance is applied to match and analyze the pixel characteristics of the brightness optimized image with the color distribution characteristics of the second partition image, and a matching optimized image and a residual optimized image are generated. Specifically, the color characteristic distance of each pixel point is calculated using the Mahalanobis distance, and the color distribution of the brightness optimized image and the second partition image is matched to generate a matching optimized image and a residual optimized image.

[0062] For example, in refined video special effects processing, color matching methods can be used to accurately match the color characteristics of different images to achieve a seamless image synthesis effect.

[0063] The interpolation algorithm is used to reconstruct the pixels of the matching optimized image and the residual optimized image to generate a preliminary reconstructed image, and the edge of the preliminary reconstructed image is refined to generate an edge enhanced image. The edge enhanced image is pixel-equalized using the Gamma correction algorithm to generate a balanced optimized image.

[0064] The interpolation algorithm is used to reconstruct the pixels of the matching optimized image and the residual optimized image to generate a preliminary reconstructed image. Specifically, the interpolation algorithm is used to reconstruct and fuse the pixels of the matching optimized image and the residual optimized image to generate a preliminary reconstructed image. Then, the preliminary reconstructed image is subjected to edge refinement processing to generate an edge enhanced image. Next, the edge enhanced image is subjected to pixel equalization processing by the Gamma correction algorithm to generate a balanced optimized image.

[0065] For example, in architectural rendering, interpolation algorithms and gamma correction can generate architectural renderings with rich details and balanced contrast, thereby improving the realism and impact of the visual effects.

[0066] The balanced optimized image is input into the optical reconstruction model based on the finite difference method to generate the front image.

[0067] The front image is generated by inputting the balanced optimized image into an optical reconstruction model based on the finite difference method; specifically, the balanced optimized image is optically reconstructed using the finite difference method to generate the front image, thereby ensuring the clarity and optical consistency of the image.

[0068] For example, in medical imaging systems, this method can generate high-resolution frontal images to help doctors make accurate diagnoses and analyses.

[0069] Among them, the steps of applying a color matching method based on Mahalanobis distance to match and analyze the pixel characteristics of the brightness optimized image with the color distribution characteristics of the second partition image to generate a matching optimized image and a residual optimized image include: separating the color components of the brightness optimized image through CIELAB color space conversion to generate a LAB color component image, applying a color distribution comparison method based on cosine similarity to match and analyze the LAB color component image with the second partition image to generate a pixel matching factor.

[0070] The brightness optimized image is separated into color components by CIELAB color space conversion to generate a LAB color component image. Specifically, the RGB color components of the brightness optimized image are converted into LAB color components by using the CIELAB color space conversion method to generate a LAB color component image. Then, the color distribution comparison method based on cosine similarity is applied to perform matching analysis between the LAB color component image and the second partition image, and the cosine similarity of each pixel is calculated to generate a pixel matching factor.

[0071] For example, in image restoration, this color matching method can be used to match the color of a damaged image with a reference image to generate a restored image with consistent color.

[0072] The pixel matching factors are regionally fused by the fusion algorithm to generate a matching optimized image. The edge feature extraction method based on the Sobel operator is used to perform residual separation on the matching optimized image to generate a residual optimized image.

[0073] The pixel matching factors are regionally fused by the fusion algorithm to generate a matching optimized image. The edge feature extraction method based on the Sobel operator is used to perform residual separation on the matching optimized image to generate a residual optimized image.

[0074] For example, in an image recognition system, the regional characteristics of the matching factors can be fused through a fusion algorithm to generate a more accurate matching optimization image, and the edge features can be extracted through the Sobel operator to effectively separate the residual image.

[0075] In step S300, a color shift correction is performed on the color components of the front image using the Gray World algorithm, and a first color-corrected image and a second color-corrected image are generated based on the adjustment result.

[0076] The Gray World algorithm is applied to perform color shift correction on the color components of the front image to achieve color balance; specifically, the Gray World algorithm assumes that the average reflectivity of all objects in the image is the same, and adjusts the average values ​​of each color channel to make the overall tone of the image more natural, thereby generating a first color-corrected image and a second color-corrected image.

[0077] For example, in photography post-processing, the Gray World algorithm can be used to correct the color cast caused by different light sources during the shooting process, making the colors of the photos more natural.

[0078] A Gamma correction algorithm is applied to perform Gamma transformation on pixel values ​​in the first color correction image to generate a transmittance optimized image, and a CLAHE algorithm is applied to perform local contrast enhancement on the transmittance optimized image and the second color correction image to generate a contrast enhanced image.

[0079] By applying the Gamma correction algorithm to perform Gamma transformation on the pixel values ​​in the first color correction image, the brightness and contrast of the image are improved to generate a transmittance optimized image; specifically, by adjusting the Gamma value, the dark and bright parts of the image are optimized to make the visual effect more balanced. Then, the CLAHE algorithm is applied to perform local contrast enhancement on the transmittance optimized image and the second color correction image to generate a contrast enhanced image.

[0080] For example, in electronic display screens, gamma correction and CLAHE algorithms can improve the brightness and contrast of images, making the display effect more prominent and suitable for use in a variety of lighting environments.

[0081] The preset light intensity matching model is used to perform light intensity adaptation processing on the contrast enhanced image to generate a light adaptation image.

[0082] By using a preset light intensity matching model to perform light intensity adaptation processing on the contrast enhanced image, the image can maintain a consistent display effect under different lighting conditions; specifically, the preset light intensity matching model adjusts the brightness and contrast of the image according to the ambient light intensity to generate a light-adapted image.

[0083] For example, in the vehicle display system, the light intensity matching model can automatically adjust the brightness of the display screen according to changes in the external ambient light, ensuring that the driver can read the information clearly under any lighting conditions.

[0084] In step 400, based on a preset second dynamic time warping algorithm, the contrast-enhanced image is subjected to inter-frame time axis deviation detection, a frame synchronization adjustment factor is generated, and the contrast-enhanced image is subjected to frame sequence time smoothing processing using Kalman filtering technology to generate a frame correction image.

[0085] The second dynamic time warping algorithm is used to detect the time axis deviation between frames of the contrast enhanced image, generate a frame synchronization adjustment factor, and ensure the synchronization and continuity of the image frames; specifically, the second dynamic time warping algorithm can detect and adjust the time axis deviation of the image frame to generate a frame synchronization adjustment factor. Then, the Kalman filter technology is applied to perform frame sequence time smoothing on the contrast enhanced image to generate a frame correction image.

[0086] For example, in video playback, the second dynamic time warping algorithm and Kalman filtering technology can effectively correct the time deviation of the video frame to ensure smooth and stable video playback.

[0087] The frame correction image is denoised and optimized by using the time domain filtering technology based on bilateral filtering to generate a synchronous optimized image. The synchronous optimized image is fused with the light adaptation image using the pixel level fusion technology to generate an optimized front image.

[0088] The frame correction image is denoised and optimized by applying the time domain filtering technology based on bilateral filtering to generate the synchronous optimized image; specifically, the bilateral filtering technology effectively removes noise while maintaining the edge details of the image. Then, the synchronous optimized image is fused with the light adaptation image using the pixel-level fusion technology to generate the optimized front image.

[0089] For example, in a real-time video conferencing system, bilateral filtering technology can be used to remove video noise, and pixel-level fusion technology can be used to synthesize a clear and stable optimized front image to improve the quality of the conference video.

[0090] A brightness equalization algorithm is applied to optimize the brightness distribution of the front image to generate a brightness-adjusted image. The sensor is used to obtain the illumination characteristics of the ambient light. Based on the illumination characteristics, an ambient light matching analysis is performed on the brightness-adjusted image and the third partition image to generate an environment-adapted image.

[0091] The brightness distribution of the front image is optimized by applying a brightness equalization algorithm to generate a brightness-adjusted image; specifically, the brightness distribution of the image is made more uniform by the brightness equalization algorithm to improve the visual effect. Then, the sensor is used to obtain the illumination characteristics of the ambient light, and based on these illumination characteristics, the brightness-adjusted image and the third subarea image are subjected to an ambient light matching analysis to generate an environment-adapted image.

[0092] For example, in an augmented reality display system, sensors are used to detect ambient lighting characteristics and dynamically adjust the brightness of the displayed content to ensure good display effects under different lighting conditions.

[0093] The environment adaptation image and the synchronous optimization image are fused in time domain through the frame control algorithm to generate the rear display image and dynamic driving signal.

[0094] By applying the frame control algorithm, the environment adaptation image and the synchronization optimization image are fused in the time domain to generate the rear display image and the dynamic driving signal; specifically, the frame control algorithm can effectively fuse the image data on different time axes to ensure the synchronization and consistency of the displayed image.

[0095] For example, in a transparent information display screen, the frame control algorithm can achieve synchronous display of images on the front and back sides, providing a rich visual experience.

[0096] In step S500, local features of the rear image are extracted by a scale-invariant feature transformation algorithm to generate a local feature image, and the dynamic driving signal and the local feature image are frame-synchronized by an optical flow method to generate a synchronous feature image.

[0097] The local features of the rear image are extracted by applying the scale-invariant feature transformation algorithm to generate a local feature image; specifically, the scale-invariant feature transformation algorithm can be used to extract stable local features at different scales of the image. Then, the dynamic driving signal and the local feature image are adjusted for frame synchronization using the optical flow method to generate a synchronized feature image.

[0098] For example, in intelligent transportation systems, the features of traffic signs can be extracted through the scale-invariant feature transformation algorithm and synchronously displayed on a transparent screen through the optical flow method, thereby improving driving safety.

[0099] The brightness of the synchronous feature image is adjusted based on the histogram matching algorithm to generate a global brightness correction image. The pixel-level image fusion technology is used to fuse the global brightness correction image with the dynamic driving signal to generate an optimized fused image.

[0100] The brightness of the synchronization feature image is adjusted by the histogram matching algorithm to generate a global brightness correction image. Specifically, the brightness distribution of the synchronization feature image is adjusted to be consistent with the reference image by the histogram matching algorithm to generate a global brightness correction image. Then, the pixel-level image fusion technology is used to fuse the global brightness correction image with the dynamic driving signal to generate an optimized fused image.

[0101] For example, in digital advertising displays, the histogram matching algorithm can ensure the brightness consistency of advertising content on different display devices, thereby improving advertising effectiveness.

[0102] The multi-scale Retinex algorithm is used to perform transmittance compensation on the optimized fusion image to generate a transmittance optimized image. The frame synchronization algorithm is used to perform time optimization on the transmittance optimized image to generate a double-sided driving signal.

[0103] By using the multi-scale Retinex algorithm to compensate the transmittance of the optimized fusion image, the transparency of the image is improved, and a transmittance-optimized image is generated; specifically, the multi-scale Retinex algorithm can achieve image transmittance compensation through illumination correction at different scales. Then, the transmittance-optimized image is time-optimized through the frame synchronization algorithm to generate a double-sided driving signal.

[0104] For example, in transparent interactive displays, the multi-scale Retinex algorithm can improve the transparency of the image, making the displayed content clearer and more visible.

[0105] The double-sided driving signal is input into the driving circuit of the transparent display screen to drive the transparent display screen to output double-sided images synchronously, thereby completing the double-sided display of the transparent display screen.

[0106] The double-sided driving signal is input into the driving circuit of the transparent display screen to drive the transparent display screen to output double-sided images synchronously, ensuring that the transparent display screen displays the contents on both sides at the same time; specifically, advanced driving circuit technology is used, combined with the synchronous control of the double-sided driving signal, to ensure the image stability and synchronization of the display screen when performing double-sided display.

[0107] For example, in conference presentations, double-sided display technology can display the main content on one side of the screen while displaying auxiliary information on the other side of the screen, improving presentation effects and meeting efficiency.

[0108] In this embodiment, a high-speed sensor is used to obtain a digital signal to be displayed, which is preprocessed and effective pixel signals are extracted, and a digital signal decoding algorithm is used to perform digital-to-analog conversion to generate an original image sequence after frame serialization. Further, the Lucas-Kanade optical flow method is used to perform inter-frame alignment, remove background noise, and generate a clear image sequence and a residual image sequence. The K-means clustering algorithm is used to perform pixel partitioning on the clear image sequence, and the basic partition image and the residual image sequence are fused by fast Fourier transform to generate a partition residual image. Subsequently, the pixel characteristics are separated by histogram equalization technology to generate a first partition image, a second partition image, and a third partition image. Based on the ambient light brightness parameters obtained by the ambient light sensor, the gamma transform is applied to perform brightness compensation on the first partition image to generate a dynamic brightness compensation image and a brightness offset image, and the frame synchronization is adjusted by the first dynamic time warping algorithm to generate a brightness optimized image. Using the color matching method based on Mahalanobis distance, the color distribution of the brightness optimized image and the second partition image is matched and analyzed to generate the matching optimized image and the residual optimized image. The interpolation algorithm and the Gamma correction algorithm are used to finally generate the balanced optimized image and input it into the optical reconstruction model to generate the front image. The GrayWorld algorithm is used to adjust the color of the front image, and the Gamma correction algorithm and the CLAHE algorithm are used to further generate the contrast enhanced image and the light adaptation image. The second dynamic time warping algorithm and the Kalman filter technology are combined to perform frame synchronization correction and denoising optimization, and finally high-quality front and rear image display is achieved through multiple algorithms. This embodiment improves the brightness, contrast and color consistency of the image through a combination of multiple steps and multiple algorithms, optimizes the double-sided display effect of the transparent display screen, and enables it to provide high-quality display effects in a variety of environments.

[0109] Embodiment 3: like Figure 2 As shown, the present application also provides a transparent double-sided display system 10, which is applied to a transparent display screen, and includes an acquisition unit 11, an adjustment unit 12, a correction unit 13, a fusion unit 14 and a control unit 15.

[0110] The acquisition unit 11 is mainly used to acquire image data to be displayed, perform pixel partitioning processing on the image data, and generate a first partition image, a second partition image, and a third partition image.

[0111] The adjustment unit 12 is mainly used to apply dynamic brightness adjustment processing to the first subarea image to generate a brightness optimized image, and perform pixel reconstruction processing on the brightness optimized image and the second subarea image to generate a front image.

[0112] The correction unit 13 is mainly used to perform color shift correction on the front image to generate a first color correction image and a second color correction image, perform pixel transmittance optimization processing on the first color correction image to generate a transmittance optimized image, perform dynamic contrast enhancement processing on the transmittance optimized image and the second color correction image to generate a contrast enhanced image and a light adaptation image.

[0113] The fusion unit 14 is mainly used to perform frame synchronization correction processing on the contrast enhanced image to generate a synchronous optimized image, perform pixel fusion processing on the synchronous optimized image and the light adaptation image to generate an optimized front image, use the optimized front image to perform ambient light adaptation processing on the third partition image to generate an environment adaptation image, perform frame control fusion processing on the environment adaptation image and the synchronous optimized image to generate a rear image and a dynamic drive signal.

[0114] The control unit 15 is mainly used to perform fusion correction processing on the rear image and the dynamic driving signal, generate a double-sided driving signal, and use the double-sided driving signal to control the transparent display screen to achieve double-sided display of the transparent display screen.

[0115] In this embodiment, the image data to be displayed is acquired by the acquisition unit 11, and the image data is subjected to pixel partitioning processing to generate a first partition image, a second partition image, and a third partition image, so as to ensure the reasonable distribution and uniformity of the image data. The adjustment unit 12 applies dynamic brightness adjustment processing to the first partition image to generate a brightness optimized image, and performs pixel reconstruction processing on the brightness optimized image and the second partition image to generate a front image, thereby improving the brightness and clarity of the image. The correction unit 13 performs color shift correction on the front image to generate a first color correction image and a second color correction image, and performs pixel transmittance optimization processing on the first color correction image to generate a transmittance optimized image, and then performs dynamic contrast enhancement processing on the transmittance optimized image and the second color correction image to generate a contrast enhanced image and a light adaptation image, thereby ensuring the accuracy and consistency of color and contrast. The fusion unit 14 performs frame synchronization correction processing on the contrast enhanced image to generate a synchronous optimized image, and performs pixel fusion processing on the synchronous optimized image and the light adaptation image to generate an optimized front image. At the same time, the third partition image is processed for ambient light adaptation using the optimized front image to generate an environmental adaptation image. Finally, the environmental adaptation image and the synchronous optimized image are subjected to frame control fusion processing to generate a rear image and a dynamic drive signal to ensure the synchronization and stability of the image. The control unit 15 performs fusion correction processing on the rear image and the dynamic drive signal to generate a double-sided drive signal, and controls the transparent display screen through the double-sided drive signal to achieve double-sided display of the transparent display screen. The entire system significantly improves the display effect and application scenarios of the transparent display screen through a series of technical means such as partition processing, dynamic brightness adjustment, color offset correction, contrast enhancement, frame synchronization correction and ambient light adaptation, ensuring that high-quality double-sided display effects can be provided in different environments.

[0116] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process of the system and each unit described above can refer to the corresponding process in the aforementioned transparent double-sided display method embodiment, and will not be repeated here.

[0117] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A transparent double-sided display method, applied to a transparent display screen, characterized in that: The display method comprises: Acquire image data to be displayed, perform pixel partitioning processing on the image data, and generate a first partition image, a second partition image, and a third partition image; Applying dynamic brightness adjustment processing to the first subarea image to generate a brightness optimized image, and performing pixel reconstruction processing on the brightness optimized image and the second subarea image to generate a front image; Performing color shift correction on the front image to generate a first color-corrected image and a second color-corrected image, performing pixel transmittance optimization processing on the first color-corrected image to generate a transmittance-optimized image, and performing dynamic contrast enhancement processing on the transmittance-optimized image and the second color-corrected image to generate a contrast-enhanced image and a light-adapted image; Performing frame synchronization correction processing on the contrast enhanced image to generate a synchronization optimized image, performing pixel fusion processing on the synchronization optimized image and the light adaptation image to generate an optimized front image, performing ambient light adaptation processing on the third subarea image using the optimized front image to generate an environment adaptation image, performing frame control fusion processing on the environment adaptation image and the synchronization optimized image to generate a rear image and a dynamic drive signal; The rear image and the dynamic driving signal are fused and corrected to generate a double-sided driving signal, and the transparent display screen is controlled by using the double-sided driving signal to achieve double-sided display of the transparent display screen.

2. The transparent double-sided display method according to claim 1, characterized in that: The step of acquiring image data to be displayed, performing pixel partitioning processing on the image data, and generating a first partitioned image, a second partitioned image, and a third partitioned image comprises: A high-speed sensor is used to obtain a digital signal to be displayed, the digital signal is preprocessed, an effective pixel signal is extracted, image data is generated, and a digital signal decoding algorithm is used to perform digital-to-analog conversion on the image data to obtain an original image sequence after frame serialization processing; Based on the Lucas-Kanade optical flow method, the original image sequence is aligned between frames to generate an aligned image sequence, and background noise is removed from the aligned image sequence to generate a clear image sequence and a residual image sequence; Performing pixel partitioning processing on the clear image sequence by using a K-means clustering algorithm to generate a basic partition image, and fusing the basic partition image with the residual image sequence by using a fast Fourier transform to generate a partition residual image; The pixel characteristics of the subarea residual image are separated based on the histogram equalization technology to generate a first subarea image, a second subarea image and a third subarea image.

3. The transparent double-sided display method according to claim 1, characterized in that: The step of applying dynamic brightness adjustment processing to the first subarea image to generate a brightness optimized image, and performing pixel reconstruction processing on the brightness optimized image and the second subarea image to generate a front image comprises: Acquire an ambient light brightness parameter through an ambient light sensor, and based on the ambient light brightness parameter, apply a gamma transform to perform brightness compensation on the first subarea image to generate a dynamic brightness compensation image and a brightness offset image; Performing frame synchronization adjustment on the dynamic brightness compensation image and the brightness offset image according to a preset first dynamic time warping algorithm to generate a brightness optimized image; Applying a color matching method based on Mahalanobis distance to perform matching analysis on the pixel characteristics of the brightness optimized image and the color distribution characteristics of the second subarea image, to generate a matching optimized image and a residual optimized image; Reconstructing the pixels of the matching optimized image and the residual optimized image by using an interpolation algorithm to generate a preliminary reconstructed image, thinning the edges of the preliminary reconstructed image to generate an edge enhanced image, and equalizing the pixels of the edge enhanced image by using a gamma correction algorithm to generate a balanced optimized image; The balanced optimized image is input into an optical reconstruction model based on a finite difference method to generate a front image.

4. The transparent double-sided display method according to claim 3, characterized in that: The step of applying the color matching method based on Mahalanobis distance to match and analyze the pixel characteristics of the brightness optimized image and the color distribution characteristics of the second subarea image to generate a matching optimized image and a residual optimized image includes: Performing color component separation on the brightness optimized image through CIELAB color space conversion to generate a LAB color component image, performing matching analysis on the LAB color component image and the second subarea image using a color distribution comparison method based on cosine similarity to generate a pixel matching factor; The pixel matching factors are subjected to regional fusion processing by a fusion algorithm to generate a matching optimized image, and the matching optimized image is subjected to residual separation by an edge feature extraction method based on a Sobel operator to generate a residual optimized image.

5. The transparent double-sided display method according to claim 1, characterized in that: The steps of performing color shift correction on the front image to generate a first color-corrected image and a second color-corrected image, performing pixel transmittance optimization processing on the first color-corrected image to generate a transmittance-optimized image, and performing dynamic contrast enhancement processing on the transmittance-optimized image and the second color-corrected image to generate a contrast-enhanced image and a light-adapted image include: Performing color shift correction on the color components of the front image by using a Gray World algorithm, and generating a first color-corrected image and a second color-corrected image based on the adjustment result; Applying a Gamma correction algorithm to perform Gamma transformation on pixel values ​​in the first color-corrected image to generate a transmittance-optimized image, and applying a CLAHE algorithm to perform local contrast enhancement on the transmittance-optimized image and the second color-corrected image to generate a contrast-enhanced image; The contrast enhanced image is subjected to light intensity adaptation processing using a preset light intensity matching model to generate a light adaptation image.

6. The transparent double-sided display method according to claim 1, characterized in that: The steps of performing frame synchronization correction processing on the contrast enhanced image to generate a synchronous optimized image, performing pixel fusion processing on the synchronous optimized image and the light adaptation image to generate an optimized front image, performing ambient light adaptation processing on the third subarea image using the optimized front image to generate an environment adaptation image, performing frame control fusion processing on the environment adaptation image and the synchronous optimized image to generate a rear image and a dynamic driving signal include: Based on a preset second dynamic time warping algorithm, the contrast enhanced image is subjected to inter-frame time axis deviation detection to generate a frame synchronization adjustment factor, and a Kalman filter technique is applied to perform frame sequence time smoothing processing on the contrast enhanced image to generate a frame correction image; The frame correction image is subjected to denoising optimization by using a time domain filtering technique based on bilateral filtering to generate a synchronous optimized image, and the synchronous optimized image is subjected to fusion processing with the light adaptation image by using a pixel-level fusion technique to generate an optimized front image; Applying a brightness equalization algorithm to optimize the brightness distribution of the optimized front image to generate a brightness-adjusted image, using a sensor to obtain illumination characteristics of ambient light, performing ambient light matching analysis on the brightness-adjusted image and the third subarea image based on the illumination characteristics, and generating an environment-adapted image; The environment adaptation image and the synchronous optimization image are fused in time domain through a frame control algorithm to generate a rear display image and a dynamic driving signal.

7. The transparent double-sided display method according to claim 1, characterized in that: The step of fusing and correcting the rear image and the dynamic driving signal to generate a double-sided driving signal, and controlling the transparent display screen by using the double-sided driving signal to realize double-sided display of the transparent display screen comprises: Extract local features from the rear image using a scale-invariant feature transformation algorithm to generate a local feature image, and perform frame synchronization adjustment between the dynamic drive signal and the local feature image using an optical flow method to generate a synchronized feature image; Based on a histogram matching algorithm, the brightness of the synchronization feature image is adjusted to generate a global brightness correction image, and a pixel-level image fusion technology is used to fuse the global brightness correction image with the dynamic drive signal to generate an optimized fused image; Performing transmittance compensation on the optimized fusion image by using a multi-scale Retinex algorithm to generate a transmittance optimized image, and performing time optimization on the transmittance optimized image by using a frame synchronization algorithm to generate a double-sided driving signal; The double-sided driving signal is input into the driving circuit of the transparent display screen to drive the transparent display screen to synchronously output double-sided images, thereby completing double-sided display of the transparent display screen.

8. A transparent double-sided display system, applied to a transparent display screen, characterized in that: include: An acquisition unit, used for acquiring image data to be displayed, performing pixel partitioning processing on the image data, and generating a first partition image, a second partition image, and a third partition image; an adjustment unit, configured to apply dynamic brightness adjustment processing to the first subarea image to generate a brightness optimized image, and perform pixel reconstruction processing on the brightness optimized image and the second subarea image to generate a front image; a correction unit, configured to perform color shift correction on the front image to generate a first color-corrected image and a second color-corrected image, perform pixel transmittance optimization processing on the first color-corrected image to generate a transmittance-optimized image, and perform dynamic contrast enhancement processing on the transmittance-optimized image and the second color-corrected image to generate a contrast-enhanced image and a light-adapted image; a fusion unit, configured to perform frame synchronization correction processing on the contrast enhanced image to generate a synchronization optimized image, perform pixel fusion processing on the synchronization optimized image and the light adaptation image to generate an optimized front image, perform ambient light adaptation processing on the third subarea image using the optimized front image to generate an environment adaptation image, perform frame control fusion processing on the environment adaptation image and the synchronization optimized image to generate a rear image and a dynamic driving signal; The control unit is used to perform fusion correction processing on the rear image and the dynamic driving signal to generate a double-sided driving signal, and use the double-sided driving signal to control the transparent display screen to achieve double-sided display of the transparent display screen.

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