An under-screen sensor adaptive pixel design method, device and storage medium

Abstract

An under-screen sensor adaptive pixel design method, device and storage medium, the method comprising: step S1: under the standard white light source environment, test the light transmittance of the display screen to R, G, B single color visible light, and obtain the optical attenuation proportional relationship of the display screen to three color lights; step S2: according to the optical attenuation proportional relationship and the pixel area-light intensity compensation inverse mapping model, determine the optimal area ratio; step S3: according to the optimal area ratio, construct a pixel repeat unit structure and a sensor array, each pixel repeat unit structure contains at least one group of independent R, G, B single color pixels. The pixel arrangement logic is reconstructed to solve the contradiction between "light transmittance" and "display effect" which has existed for a long time in the field of under-screen sensing.

Description

Technical Field

[0001] This invention relates to the field of under-display cameras, and more specifically, to an adaptive pixel design method, device, and storage medium for under-display sensors. Background Technology

[0002] With the iterative evolution of full-screen technology, under-display integrated sensing technology (such as under-display fingerprint recognition, under-display facial recognition, and under-display cameras) has become the core path for smart terminal devices to achieve high screen-to-body ratios. However, due to the multi-layered structure of the display itself (including thin-film transistor arrays, organic light-emitting layers / liquid crystal layers, color filters, etc.), visible light is significantly blocked and absorbed, resulting in extremely weak light signals reaching the sensors below the screen, which severely restricts imaging quality and recognition accuracy.

[0003] In existing under-display sensor designs, solutions such as "transparent sub-screen" or "reducing pixel density (PPI) in specific areas" are commonly used to improve light transmittance. However, both of these methods have significant limitations: the former increases process complexity and cost, while the latter can create visible "mosaic" or "gray spots" in specific areas of the screen, disrupting the visual integrity.

[0004] A more critical technical bottleneck lies in the differences in the optical characteristics of the RGB three primary color channels. The red (R), green (G), and blue (B) color filter materials and their corresponding light-emitting devices in a display screen exhibit drastically different transmission characteristics for different wavelengths of visible light. Specifically, blue light has a shorter wavelength and is easily scattered and absorbed by materials, resulting in a transmittance that is typically much lower than that of red and green light. If a traditional pixel design scheme is adopted, where the R, G, and B sub-pixels use a fixed area ratio (such as the classic 1:1:1 or 1:2:1), the following problems will occur: Signal-to-noise ratio imbalance: Due to the extremely low transmittance of the blue light channel, the brightness and signal-to-noise ratio of the blue light received by the sensor are severely insufficient, resulting in severe color cast and noise in the final acquired image.

[0005] Color reproduction distortion: To compensate for light transmission defects in hardware, software algorithms are often used for significant color correction and gain compensation. This "digital remediation" not only increases the latency and power consumption of the image processing pipeline, but also easily causes image quality degradation problems such as artifacts and color banding.

[0006] Low space utilization: In red or green light channels with already high light transmittance, maintaining a large pixel area does not significantly improve sensor performance. Instead, it occupies valuable screen display area and limits further improvement in pixel density.

[0007] Therefore, the industry urgently needs a design method that can dynamically adjust the physical structure of pixels based on optical attenuation characteristics. Current technology has not yet provided an effective mechanism to fully consider the transmittance differences of different colors of light during the pixel design stage, and to balance the light intensity input of the three color channels from the source through physical pixel structure optimization. This would maximize the light-sensing efficiency and color reproduction capability of the under-display sensor while ensuring screen display performance (PPI and visual uniformity).

[0008] The above background information is provided only to aid in understanding the inventive concept and technical solution of this invention. It does not necessarily belong to the prior art of this patent application. In the absence of clear evidence that the above information was disclosed on the filing date of this patent application, the above background information should not be used to evaluate the novelty and inventiveness of this application. Summary of the Invention

[0009] To address these issues, the adaptive pixel design method proposed in this invention aims to resolve the long-standing contradiction between "transmittance" and "display effect" in the field of under-display sensing by establishing a quantitative mapping relationship between optical attenuation and pixel area and reconstructing the pixel arrangement logic.

[0010] In a first aspect, the present invention provides an adaptive pixel design method for an under-display sensor, characterized by comprising the following steps: Step S1: Under a standard white light source environment, test the transmittance of the display screen to R, G, and B monochromatic visible light, and obtain the optical attenuation ratio of the display screen to the three colors of light. Step S2: Determine the optimal area ratio based on the optical attenuation ratio and the pixel area-light intensity compensation inverse mapping model; Step S3: Construct a pixel repeating unit structure and a sensor array according to the optimal area ratio. Each pixel repeating unit structure contains at least one set of independent R, G, B monochrome pixels.

[0011] Optionally, the under-display sensor adaptive pixel design method is characterized by further comprising: Step S4: The backend algorithm fine-tunes to converge to the optimal light intensity ratio for the human eye.

[0012] Optionally, the under-display sensor adaptive pixel design method is characterized in that step S1 includes: S11: Under a standard white light source, the display screen is configured to be in a fully transparent state or at its highest brightness state; S12: Make the standard white light source emit R, G, and B rays separately, collect the transmitted light intensity data after the corresponding monochromatic light passes through the display screen, and simultaneously record the reference light intensity data of the incident standard light source. S13: Calculate the ratio of initial light intensity to transmitted light intensity to obtain the optical attenuation coefficients of R, G, and B monochrome pixels, and then obtain the optical attenuation ratio relationship between R, G, and B.

[0013] Optionally, the under-display sensor adaptive pixel design method is characterized in that step S1 includes: S11: Under a standard white light source, the display screen is configured to be in a fully transparent state or at its highest brightness state; S14: Configure the sensor to receive signals and generate a mixed signal image; S15: Calculate the optical attenuation ratio relationship between R, G, and B based on the mixed signal image.

[0014] Optionally, the under-display sensor adaptive pixel design method is characterized in that step S2 includes: Step S21: Set the target light intensity ratio as a weighted ratio under the standard human visual function; Step S22: Input the optical attenuation ratio into the pixel area-light intensity compensation inverse mapping model, which is constructed based on pixel aperture area, transmittance and output light intensity; Step S23: Solve for the area of ​​each monochrome pixel that makes the output light intensity match the target light intensity ratio, thereby determining the optimal area ratio.

[0015] Optionally, the under-display sensor adaptive pixel design method is characterized in that step S3 includes: Step S31: Define the block of the pixel repeating unit, and re-divide the physical size of R, G, B sub-pixels within the block; Step S32: Based on the optimal area ratio, increase the physical size of the monochrome pixel with the lowest light transmittance, or decrease the physical size of the monochrome pixel with the highest light transmittance; Step S33: Map the adjusted pixel repeating unit structure to the entire sensor array to ensure that the spectral energy received by each sensing unit in the array is evenly distributed.

[0016] Optionally, the under-display sensor adaptive pixel design method is characterized in that the different pixel repeating unit structures on the sensor array are arranged according to the light attenuation of the display screen, and are non-uniformly distributed.

[0017] Secondly, the present invention provides an under-display sensor adaptive pixel design system, characterized in that it includes: The testing module is used to test the transmittance of the display screen to monochromatic visible light (R, G, B) under a standard white light source environment, and to obtain the optical attenuation ratio of the display screen to the three colors of light. The matching module is used to determine the optimal area matching ratio based on the optical attenuation ratio relationship and the pixel area-light intensity compensation inverse mapping model; The design module is used to construct pixel repeating unit structures and sensor arrays according to the optimal area ratio, wherein each pixel repeating unit structure contains at least one set of independent R, G, B monochrome pixels.

[0018] Thirdly, the present invention provides an under-display sensor adaptive pixel design device, characterized in that it comprises: processor; A memory module that stores executable instructions of the processor; The processor is configured to perform the steps of the under-display sensor adaptive pixel design method described above by executing the executable instructions.

[0019] Fourthly, the present invention provides a computer-readable storage medium for storing a program, characterized in that, when the program is executed, it implements the steps of the under-display sensor adaptive pixel design method described in any of the preceding claims.

[0020] Compared with the prior art, the present invention has the following beneficial effects: 1. Balance the light-sensing signal-to-noise ratio of the RGB three color channels at the physical layer to improve the under-display sensing accuracy.

[0021] This invention first measures the transmittance of the display screen to monochromatic visible light (R, G, B) under a standard white light source environment to obtain the optical attenuation ratio. Then, it uses a pixel area-light intensity compensation inverse mapping model to inversely map this attenuation difference to the pixel area allocation, so that colors with lower transmittance (such as blue light) can obtain larger pixel areas. This physically offsets the disadvantage of the screen material in absorbing and scattering short-wavelength light, reduces the signal-to-noise ratio difference of the three color channels from the source, and improves the color reproduction capability and imaging quality of under-display sensors (such as under-display cameras, under-display fingerprint sensors, and under-display face recognition).

[0022] 2. Reduce reliance on backend algorithm gains to decrease power consumption and image quality degradation.

[0023] Since the pixel area has already completed the pre-compensation for optical attenuation at the physical layer, the backend ISP or recognition algorithm does not need to apply a large digital gain to the weak transmission channel, thereby effectively suppressing secondary problems such as noise amplification, artifacts, and color banding, while reducing image processing computing power and system power consumption.

[0024] 3. The pixel repeating unit structure is regular, compatible with existing driving architecture, and has low process migration cost.

[0025] This invention constructs a sensor array using repeating units containing at least one set of independent R, G, and B monochrome pixels. Each sensing unit can fully acquire the three-color information, avoiding color aliasing. At the same time, the arrangement of repeating units is compatible with existing TFT / OLED pixel driving architectures, eliminating the need to reconstruct the driving pipeline and facilitating industrialization.

[0026] 4. The design process is quantifiable and iterative, and has universality across screen materials and scenarios.

[0027] This invention forms a closed-loop design process of "measured attenuation → model mapping → structural placement": when the filter material, light-emitting layer structure or screen type (OLED / LCD / Micro-LED) changes, it is only necessary to re-execute S1 to measure the new attenuation ratio, and the corresponding optimal area ratio can be output through the same mapping model; if the application scenario changes from visible light to near infrared (such as under-display fingerprint), the light source spectrum can also be replaced in S1 to reuse this method, which has strong versatility and scalability. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort. Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a flowchart illustrating the steps of an under-display sensor adaptive pixel design method according to an embodiment of the present invention. Figure 2 This is a flowchart illustrating the steps of another under-display sensor adaptive pixel design method in an embodiment of the present invention; Figure 3 This is a flowchart illustrating one step in obtaining an optical attenuation ratio in an embodiment of the present invention; Figure 4 This is a flowchart illustrating another step in obtaining the optical attenuation ratio in an embodiment of the present invention; Figure 5 This is a flowchart illustrating one step in determining the optimal area ratio in an embodiment of the present invention; Figure 6 This is a flowchart illustrating the steps of constructing a pixel repeating unit structure and a sensor array in an embodiment of the present invention; Figure 7 This is a schematic diagram of the structure of an under-display sensor adaptive pixel design system according to an embodiment of the present invention; Figure 8This is a schematic diagram of the structure of an under-display sensor adaptive pixel design device according to an embodiment of the present invention; Figure 9 This is a schematic diagram of a computer-readable storage medium according to an embodiment of the present invention. Detailed Implementation

[0029] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention. These all fall within the scope of protection of the present invention.

[0030] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0032] The present invention provides an adaptive pixel design method for under-display sensors, which aims to solve the problems existing in the prior art.

[0033] The technical solutions of the present invention and how they solve the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0034] The under-display imaging sensor is embedded beneath the display screen. The screen pixels, polarizer, glass, and color filter layer all exhibit varying degrees of absorption, scattering, and blocking of the three visible light colors: red (R), green (G), and blue (B). The intensity attenuation of these three colors of light as they penetrate the screen and reach the underlying sensor differs significantly. If the RGB pixels of the sensor use the same photosensitive area, issues such as channel signal-to-noise ratio imbalance, color cast, and insufficient dynamic range will arise.

[0035] The core idea of ​​this method is to establish an inverse compensation model of area and light intensity by measuring the differences in light transmission attenuation of the three colors on the screen, and to design the photosensitive area of ​​RGB pixels differently to adaptively offset the color attenuation caused by the screen, thereby achieving balanced three-color imaging.

[0036] Figure 1 This is a flowchart illustrating the steps of an under-display sensor adaptive pixel design method according to an embodiment of the present invention. Figure 1 As shown, an under-display sensor adaptive pixel design method in an embodiment of the present invention includes the following steps.

[0037] Step S1: Under a standard white light source environment, test the transmittance of the display screen to R, G, and B monochromatic visible light, and obtain the optical attenuation ratio of the display screen to the three colors of light.

[0038] Quantitatively characterize the transmission loss features of each visible light band of the complete display module, establish an objective relative attenuation benchmark between the red, green, and blue bands, and provide measured optical input parameters for matching the size of the photosensitive unit.

[0039] Standardized test implementation process An anechoic chamber isolation test platform was built, using a CIE standard D65 uniform white light source as the incident excitation source, and a narrowband monochromatic beam splitter was configured to output independent red, green, and blue monochromatic incident light, and a high-precision optical power acquisition device was provided. Perform blank reference calibration: Remove the display panel and collect the incident light flux of three monochromatic lights under unobstructed conditions, as the original light intensity reference for each band; The complete display module under test is assembled, the module is kept in a static state with the screen off, the actual working optical path of the sensor under the screen is restored, three monochromatic lights are sequentially passed in, and the transmitted light flux after attenuation by multiple layers of film on the panel is collected. By comparing the reference luminous flux with the transmitted luminous flux, the degree of transmission loss in a single band is determined. After normalization, a stable relative ratio of optical attenuation among the red, green, and blue colors is obtained, and the attenuation strength levels of each band are distinguished.

[0040] Step-by-step output results The dataset of relative attenuation ratios of the RGB three-color visible light bands of the display panel fully characterizes the inherent differences in light transmission loss of the panel across different wavelength bands.

[0041] Step S2: Determine the optimal area ratio based on the optical attenuation ratio and the pixel area-light intensity compensation inverse mapping model.

[0042] Steps and technical objectives By relying on the photoelectric conversion physical matching mechanism, the attenuation difference of the panel in different wavelength bands is transformed into a geometric size allocation scheme for the RGB photosensitive area of ​​the sensor, and the optimal size ratio with balanced multi-channel photosensitive response is obtained under the constraints of the process boundary.

[0043] Core Mapping Mechanism Explanation The pixel area-light intensity compensation inverse mapping model follows the photoelectric signal equalization matching logic: the higher the attenuation of a certain visible light band by the display panel, the larger the effective photosensitive area of ​​the corresponding photosensitive unit needs to be set in order to achieve the same photoelectric sensing output; the lower the transmission loss of the band, the smaller the geometric size of the photosensitive area can be reduced accordingly, and the hardware inverse compensation of transmission loss is achieved through the differentiation of photosensitive area.

[0044] Optimal Allocation Solution Constraints and Implementation Process Using the three-color attenuation ratios output by S1 as model input, an initial allocation scheme for the area of ​​RGB photosensitive units is generated; The constraints of semiconductor manufacturing processes include the minimum photolithographic size threshold for photosensitive units, the maximum total layout area occupied by a single RGB pixel unit, and the layout space limitations for pixel isolation metal and readout circuits. With minimizing the difference in the original photosensitive response of the three color channels as the optimization objective, the initial area allocation scheme is iteratively corrected, and the optimal matching scheme is selected within all process constraint boundaries. Step-by-step output results Standardize the optimal area ratio parameters of RGB photosensitive units to match the attenuation characteristics of the target display panel.

[0045] Step S3: Construct a pixel repeating unit structure and a sensor array according to the optimal area ratio. Each pixel repeating unit structure contains at least one set of independent R, G, B monochrome pixels.

[0046] Steps and technical objectives The optimal area ratio parameters are transformed into a physical layout structure that can be fabricated, the minimum periodic pixel unit design is completed, and a complete under-display photosensitive chip is formed by periodic array arrangement, realizing the hardware implementation of the optical compensation structure.

[0047] I. Structural Design Specifications for Pixel Repeating Units Unit partition isolation design: Each pixel repeating unit is divided into independent red, green and blue photosensitive zones. Each photosensitive area is physically isolated by a metal light-shielding layer and a dielectric isolation groove to suppress optical crosstalk between channels; Photosensitive area size control: Each monochrome photosensitive effective area strictly follows the optimal area ratio determined by S2 to complete the layout drawing. The readout circuits such as pixel reset transistors, amplifier transistors, and row select transistors are arranged in independent partitions and do not occupy the photosensitive effective photosensitive area. Cross-layer optical matching adaptation: The overall pitch and outline of the pixel unit are matched with the periodic arrangement of the sub-pixels of the upper display panel to suppress interlayer optical interference and moiré effect; Expandable unit design: The unit can integrate one or more groups of RGB photosensitive pixels. Multiple groups of photosensitive pixels adopt the same optimal area ratio, which improves the array space sampling density.

[0048] II. Overall Construction Process of Under-Display Sensor Array Periodic array arrangement: The designed pixel repeating units are periodically laid out in the horizontal and vertical directions to form a two-dimensional planar photosensitive array; Interlayer alignment and matching: The array arrangement period corresponds one-to-one with the sub-pixel array of the upper display panel, ensuring that a set of adaptive-size photosensitive units are matched vertically below each group of RGB sub-pixels. Full-area light-shielding and isolation optimization: A metal light-shielding shielding structure is added between the array units to block obliquely transmitted stray light. The layout is adjusted only for non-photosensitive areas without changing the area ratio of each monochrome photosensitive area. Process compatibility: The pixel-level readout circuit adopts a standardized CMOS image sensor process, with only the photodiode photosensitive area layout size being adjusted differently. No changes are required to the core manufacturing process, ensuring mass production compatibility.

[0049] Step-by-step output results An adaptive pixel repeating unit layout file that meets the tape-out specifications; A two-dimensional image sensor photosensitive array architecture fully adapted to under-display application scenarios; An under-display sensing hardware system with native color balance compensation capabilities.

[0050] Figure 2 This is a flowchart illustrating the steps of another under-display sensor adaptive pixel design method in an embodiment of the present invention, as follows: Figure 2 As shown, compared to the aforementioned embodiments, another under-display sensor adaptive pixel design method in this embodiment of the invention further includes: Step S4: The backend algorithm fine-tunes to converge to the optimal light intensity ratio for the human eye.

[0051] Steps and technical objectives At the hardware level, it can only complete the equal compensation of the three-color signals based on objective optical flux, which does not match the visual light perception characteristics of the human eye. This step relies on the image back-end processing algorithm to make fine dynamic corrections to the original signal output by the hardware, and finally converges to the three-color light intensity balance effect that conforms to the subjective perception of the human eye.

[0052] Algorithm Implementation Process A standard visual evaluation environment was set up, and multiple sets of standard color cards, grayscale levels, and raw image data directly output from sensor hardware in natural scenes were collected. The raw response components of the RGB three channels were extracted. The perceptual weight curve of the human visual system is introduced as the algorithm correction benchmark. A multi-channel dynamic correction and adjustment module is constructed based on the different sensitivity characteristics of the human eye to the red, green and blue bands. Based on the basic signal ratio after hardware compensation, the gain coefficient of each channel is iteratively fine-tuned according to different scenarios, and imaging indicators such as grayscale linearity, color saturation, and signal-to-noise ratio in dark areas are simultaneously constrained. Through dual verification of objective imaging index detection and subjective visual evaluation by the human eye, the parameters are continuously iterated and corrected until the color of the image is without deviation and the layer transition is natural, thus completing parameter convergence. The converged correction parameters are solidified into the image processing unit, supporting adaptive recall of the corresponding fine-tuning parameter group under different lighting conditions.

[0053] Step-by-step output results An RGB channel gain correction parameter set adapted to the characteristics of human vision, coupled with back-end image processing logic equipped with fine-tuning algorithms, enables the synergy of hardware pre-compensation and software visual optimization.

[0054] Figure 3 This is a flowchart illustrating one step in obtaining an optical attenuation ratio according to an embodiment of the present invention. Figure 3 As shown, one step in obtaining an optical attenuation ratio in an embodiment of the present invention includes: S11: Under a standard white light source, configure the display screen to be in a fully transparent state or at its highest brightness state.

[0055] A darkroom testing platform was built to isolate stray ambient light, and an industry-standard white light source was used as the unified excitation light source. The display screen under test was powered on and driven to adjust the panel to either full transmission or peak brightness.

[0056] This operating condition allows liquid crystal molecules to maintain a fixed deflection angle, eliminating dynamic light transmission fluctuations caused by changes in the liquid crystal deflection angle. It also allows all optical film layers, including the cover glass, polarizing layer, color filter layer, and liquid crystal layer, to form a stable and unique fixed light path, ensuring that the test light path is consistent with the actual imaging light path of the under-screen sensor and avoiding calibration data distortion caused by differences in operating conditions.

[0057] S12: The standard white light source emits R, G, and B rays separately, and the transmitted light intensity data after the corresponding monochromatic light passes through the display screen is collected. The reference light intensity data of the incident standard light source is recorded simultaneously.

[0058] The system controls a standard white light source to achieve beam splitting output, emitting red, green, and blue monochromatic beams independently in a time-division manner, with each monochromatic beam incident perpendicularly onto the surface of the display screen; and uses high-precision optical power detection equipment to carry out synchronous data acquisition.

[0059] The data acquisition was divided into two sets of corresponding data: the first set was the transmitted light intensity data output after the light beam passed through all the film layers of the complete display screen; the second set was the incident reference light intensity data output directly by the light source after the display screen obstruction was removed. The red, green, and blue bands each completed one round of independent acquisition, and the reference light intensity and transmitted light intensity of each set of monochromatic light were stored in a one-to-one correspondence to avoid cross-contamination of data from different bands.

[0060] S13: Calculate the ratio of initial light intensity to transmitted light intensity to obtain the optical attenuation coefficients of R, G, and B monochrome pixels, and then obtain the optical attenuation ratio relationship between R, G, and B.

[0061] For each of the red, green, and blue bands, the incident reference light intensity and the corresponding transmitted light intensity are compared and analyzed to obtain the optical attenuation coefficients for the three monochromatic lights. These coefficients directly reflect the degree of loss of single-band light by absorption, scattering, and blocking by the overall film layer of the display screen.

[0062] After obtaining three sets of independent attenuation coefficients, the three sets of coefficients are normalized and correlated to form a stable RGB three-color optical attenuation ratio relationship with horizontal comparison significance. This clearly defines the relative loss levels of red, green and blue light and quantitatively distinguishes the light transmission differences of different bands.

[0063] This embodiment is the optical benchmark calibration step of the entire adaptive pixel design scheme. The core task is to complete the quantitative detection of the transmission performance of the red, green and blue monochromatic bands of the target display panel in a standardized test environment. By comparing and analyzing the benchmark incident light intensity and the transmitted light intensity behind the screen, the loss difference of different visible light bands after passing through the display film layer is extracted, and the three-color optical attenuation ratio relationship that can be used for pixel area compensation modeling is generated, providing objective measured optical basis for subsequent optimization of the sensor photosensitive unit size.

[0064] Figure 4 This is a flowchart illustrating another step in obtaining the optical attenuation ratio in an embodiment of the present invention. Figure 4 As shown, another step in obtaining the optical attenuation ratio in an embodiment of the present invention includes: S11: Under a standard white light source, configure the display screen to be in a fully transparent state or at its highest brightness state.

[0065] This step is described in the aforementioned embodiment and will not be repeated here. S14: Configure the sensor to receive signals and generate a mixed signal image.

[0066] The image sensor is positioned directly below the display screen. The sensor readout circuit and signal acquisition channel are powered on and their parameters are initialized. Acquisition parameters such as sensor exposure time, gain, and readout rate are set uniformly to eliminate signal deviation caused by differences in device acquisition parameters.

[0067] A standard white light source is continuously and vertically incident on the display screen. The composite visible light that penetrates the panel is directly projected onto the photosensitive area of ​​the underlying sensor. The sensor completes photoelectric conversion and outputs the raw electrical signal. The back-end acquisition unit synchronously integrates the multi-channel electrical signals to generate a mixed signal raw image containing red, green, and blue composite response information, and completely retains the raw output amplitude information of each pixel channel.

[0068] S15: Calculate the optical attenuation ratio relationship between R, G, and B based on the mixed signal image.

[0069] The original data of the mixed signal image output by the sensor is retrieved, and the original signal response amplitudes corresponding to red, green and blue for each photosensitive unit in the image are extracted by channel. The standard white light reference image signal collected by the sensor when there is no display screen obstruction is used as a reference benchmark to compare the signal attenuation amplitude of each monochrome channel under the condition of display screen obstruction.

[0070] By comparing the signal attenuation levels of the three color channels horizontally, the average noise reduction of multi-frame image data is completed, eliminating the errors caused by random acquisition noise. Finally, the stable optical attenuation ratio of red, green, and blue is obtained through normalization and sorting, which intuitively reflects the degree of absorption and scattering loss of the display screen for the three visible light bands.

[0071] This embodiment is a pre-optical calibration process for the under-display sensor pixel adaptive design. It completes the quantification of the display panel's wavelength loss by relying on the standard white light test environment and the actual sensing acquisition link. Instead of relying on a separate photometer to collect light flux at a single point, it directly captures the imaging mixed signal through the underlying sensor. Based on the differences in image signal response, it derives the attenuation differences of RGB three-color light after passing through the display screen, which greatly simplifies the acquisition process and provides a measured signal benchmark for the subsequent pixel area ratio model.

[0072] Figure 5 This is a flowchart illustrating one step in determining the optimal area ratio according to an embodiment of the present invention. Figure 5 As shown, one step in determining the optimal area ratio in an embodiment of the present invention includes: Step S21: Set the target light intensity ratio as a weighted ratio under the standard human visual function.

[0073] Using the internationally recognized human visual function as a visual evaluation benchmark, the visual perception weights corresponding to the red, green, and blue visible light bands in the function are extracted, and the weight correspondence is set as the ratio of the three-color target light intensity that the system expects to achieve.

[0074] This target ratio differs from the standard of simply equalizing physical light flux. It fully matches the human eye's varying photosensitivity to different color bands, avoiding the problem of color shift in subjective images that only balances physical light intensity from the design source. This sets the visual optimization target boundary for subsequent pixel area calculation.

[0075] Step S22: Input the optical attenuation ratio into the pixel area-light intensity compensation inverse mapping model, which is constructed based on pixel aperture area, transmittance and output light intensity.

[0076] The RGB three-color optical attenuation ratio obtained by S1 is used as an external input to the pixel area-light intensity compensation inverse mapping model.

[0077] This model is built upon three core physical variables: the light transmittance of the display panel, the effective photosensitive aperture area of ​​the pixels, and the final output light response intensity of the sensor. It characterizes the coupling relationship between these three variables. The core compensation logic is that the wavelength attenuation caused by the panel can be offset by adjusting the pixel aperture area, achieving a match between transmission loss and the size of the photosensitive area. After the model completes parameter loading, a solution path is established linking optical attenuation characteristics to pixel geometry.

[0078] Step S23: Solve for the area of ​​each monochrome pixel that makes the output light intensity match the target light intensity ratio, thereby determining the optimal area ratio.

[0079] Constraint solving is carried out based on the inverse mapping model with complete parameters. The core objective of the calculation is to allocate the effective photosensitive aperture area of ​​each group of monochrome pixels so that the actual output light intensity of the sensor after attenuation by the panel can match the light intensity ratio of the human eye visual target preset by S21.

[0080] The solution process simultaneously incorporates process manufacturing constraints such as the minimum size of semiconductor lithography, the overall layout area occupied by a single RGB pixel unit, and the space occupied by pixel isolation structures. Within all engineering boundary constraints, multiple size schemes are iteratively screened to select the allocation scheme with the three-color output light intensity closest to the visual target ratio. This scheme is defined as the optimal area ratio of RGB monochrome photosensitive pixels.

[0081] This embodiment focuses on the core computational step of pixel size matching optimization. Using the optical attenuation ratios of the three colors of the panel obtained in step S1 as input, and combining this with the human visual perception standard to set the imaging target benchmark, it completes multi-constraint solutions based on the pixel area-light intensity compensation inverse mapping model. The output is an optimal area allocation scheme for RGB photosensitive units that adapts to the optical loss of the display panel while conforming to the visual characteristics of the human eye, providing a quantitative dimensional basis for pixel hardware layout design. A standardized set of optimal area ratio parameters for RGB photosensitive pixels, which simultaneously considers the optical attenuation loss compensation of the display panel across different wavelengths and the standard visual perception requirements of the human eye, can be directly used as the dimensional constraints for the pixel repeating unit layout design in step S3.

[0082] Figure 6 This is a flowchart illustrating the steps involved in constructing a pixel repeating unit structure and a sensor array according to an embodiment of the present invention. Figure 6 As shown, an embodiment of the present invention includes the following steps for constructing a pixel repeating unit structure and a sensor array: Step S31: Define the block of the pixel repeating unit, and re-divide the physical size of R, G, and B sub-pixels within the block.

[0083] First, define the overall layout block of the minimum periodic pixel repeating unit, determine the overall boundary of a single group of pixel units and the fixed layout space occupied, and simultaneously reserve non-photosensitive functional areas such as pixel readout circuits, light-shielding isolation slots, and metal traces.

[0084] Within each cell, dedicated photosensitive sub-pixel physical partitions for red, green, and blue colors are independently divided. Each partition is physically isolated from the others to prevent optical crosstalk between channels. Adjustable photosensitive opening areas are reserved to provide a regular layout partitioning basis for subsequent size adjustments based on optimal area ratios.

[0085] Step S32: Based on the optimal area ratio, increase the physical size of the monochrome pixel with the lowest light transmittance, or decrease the physical size of the monochrome pixel with the highest light transmittance.

[0086] The optimal area ratio parameters output by S2 are retrieved as the basis for layout adjustment. Targeted size optimization is performed in combination with the light transmission characteristics of each band of the display screen: for the monochrome channel with the weakest light transmission performance and the most severe light attenuation, the overall physical size of its photosensitive sub-pixels is enlarged accordingly; for the monochrome channel with the best light transmission performance and the lowest light loss, the physical size of its photosensitive sub-pixels is narrowed and reduced accordingly.

[0087] Size adjustments only affect the effective photosensitive aperture area of ​​each sub-pixel. The layout of the pixel periphery isolation structure, transistor readout circuit, and shielding metal layer remains unchanged. Hardware compensation for the transmission energy difference caused by different wavelengths passing through the display screen is achieved solely through the differentiated design of the photosensitive area geometry. It should be noted that size adjustments include both adjusting the area of ​​individual pixels and adjusting the number of pixel units to change the total pixel area.

[0088] Step S33: Map the adjusted pixel repeating unit structure to the entire sensor array to ensure that the spectral energy received by each sensing unit in the array is evenly distributed.

[0089] The pixel repeating units, which have been optimized in size and meet the optimal area ratio, are used as standard periodic units and extended to the complete sensor two-dimensional array layout using a periodic tiling mapping method.

[0090] During array arrangement, the unit pitch and the relative size ratio of the three-color sub-pixels are strictly maintained to ensure that the RGB photosensitive area distribution rules corresponding to each sensing unit in the array are completely consistent; from the hardware arrangement level, it is ensured that the red, green and blue spectral energy distribution received by the photosensitive units at all positions tends to be balanced, avoiding local color shifts and response differences in different areas of the array, and unifying the global photosensitive compensation benchmark.

[0091] This embodiment pertains to the hardware implementation phase, transforming the optimal photosensitive area ratio obtained from the S2 solution into a physical pixel layout structure that can be fabricated. By dividing the pixel into standardized repeating units, differentially adjusting the physical size of the three-color sub-pixels, and then completing the unified replication arrangement of the entire array, balanced spectral energy reception is achieved at the hardware level. This eliminates the differences in light transmission across different wavelengths caused by the under-display panel, providing a basic balanced photosensitive hardware carrier for backend imaging.

[0092] In some embodiments, the different pixel repeating unit structures on the sensor array are arranged according to the light attenuation of the display screen, and are non-uniformly distributed.

[0093] Conventional implementations use uniformly sized pixel repeating units arranged in a uniform array with equal periods, suitable for situations where the optical attenuation characteristics of the entire display panel are consistent. However, in scenarios such as irregularly shaped screens, curved screens with sensing capabilities, gradient differences in edge film thickness, screen bezel obstruction, and regional deviations in pixel luminescent layer thickness, different areas of the display exhibit regional gradient differences in the attenuation of RGB visible light. Using the same pixel size ratio across the entire area cannot achieve uniform color balance across the entire screen. To address this situation, this embodiment employs a partitioned, non-uniform arrangement design, matching pixel repeating units of corresponding specifications based on the differentiated light attenuation characteristics of each area of ​​the screen.

[0094] Based on the spatial location of the display panel, the optical attenuation calibration of the entire screen partition is completed in advance to obtain the three-color attenuation ratios corresponding to different coordinate areas of the screen. For each screen partition with different attenuation characteristics, a pixel repeating unit structure adapted to the loss characteristics of that area is matched separately. Pixel units of various specifications are no longer uniformly laid out with a single fixed period, but are arranged in the corresponding array according to the loss distribution of the screen partition, forming an overall non-uniformly distributed sensor array architecture.

[0095] Screen area optical partition calibration A segmented scanning light transmittance test is performed on the entire display screen to distinguish the central area of ​​the screen, the edge bending area, the area obstructed below the bezel, and the area with deviation in color film deposition thickness, etc. The RGB optical attenuation ratio relationship of each independent zone is extracted, and several screen sub-regions with different optical loss characteristics are divided.

[0096] Partition Custom Pixel Repeating Unit For the attenuation data of each screen sub-region, the corresponding optimal area ratio is solved through step S2 to generate multiple pixel repeating unit structures with different photosensitive sub-pixel sizes. The physical size ratios of R, G, and B photosensitive sub-pixels within different units are distinguished from each other to adapt to the light loss level of the corresponding area.

[0097] Non-uniform mapping arrangement of arrays When drawing the sensor array layout, customized pixel repeating units matching the attenuation characteristics of the corresponding area are arranged at the corresponding coordinate positions of the array according to the vertical projection position of the screen space partition. The arrangement pitch and unit specifications between pixel units of different specifications can be adjusted as needed. The array as a whole does not have a globally uniform repeating period, forming a non-uniform array pattern. Transitional pixel units are set at the boundary positions of adjacent partitions to alleviate optical defects such as imaging jumps and moiré patterns caused by direct splicing of two types of units.

[0098] This embodiment utilizes a multi-specification, partitioned, customized pixel repeating unit layout, along with a partitioned, non-uniformly periodically arranged two-dimensional under-display sensor array, to achieve full-domain hardware adaptive compensation for spatial gradient light attenuation of the display screen. This refined optical compensation in the spatial dimension can simultaneously adapt to the non-uniform light transmission loss across the entire display screen, resolving local color shift issues caused by differences in curved surfaces, irregular shapes, and edge film layers. Regional matching of pixel photosensitive areas eliminates the need for backend algorithms to significantly increase partitioned correction gain, reducing the dynamic correction load on the image processor. The array arrangement adaptively adjusts to follow the screen's optical attenuation distribution, ensuring consistent imaging color between the screen's center and edge areas, thus expanding the solution's adaptability to complex-shaped under-display products.

[0099] Figure 7 This is a schematic diagram of the structure of an under-display sensor adaptive pixel design system according to an embodiment of the present invention.Figure 7 As shown, an under-display sensor adaptive pixel design system in an embodiment of the present invention includes: The testing module is used to test the transmittance of the display screen to monochromatic visible light (R, G, B) under a standard white light source environment, and to obtain the optical attenuation ratio of the display screen to the three colors of light. The matching module is used to determine the optimal area matching ratio based on the optical attenuation ratio relationship and the pixel area-light intensity compensation inverse mapping model; The design module is used to construct pixel repeating unit structures and sensor arrays according to the optimal area ratio, wherein each pixel repeating unit structure contains at least one set of independent R, G, B monochrome pixels.

[0100] The testing module, as the front-end data acquisition unit of the system, uses a standard white light source to calibrate the light transmission characteristics of the red, green, and blue bands of the display screen, and outputs the optical attenuation ratio of the three colors of the screen, providing raw optical measurement data for subsequent calculations.

[0101] As the core computing unit of the system, the matching module receives the attenuation ratio data output by the test module, calls the pixel area-light intensity compensation inverse mapping model to calculate and solve the problem, and outputs the optimal area matching parameters of RGB photosensitive pixels that are adapted to the optical loss of the screen.

[0102] The design module, as the system hardware implementation unit, reads the optimal area ratio parameters output by the ratio module, completes the layout design of pixel repeating units containing independent RGB sub-pixels, and builds a complete sensor array based on this unit, outputting a sensing structure scheme that can be used for chip fabrication.

[0103] The three elements form a sequential data flow relationship, creating a complete design chain: The optical attenuation data generated by the test module is input to the matching module in one direction; after the matching module completes the size matching calculation, it transmits the matching parameters to the design module; each module has its own independent division of labor and drives the module step by step. The output of the previous module is the only input basis for the next module, and they work together to complete the fully automated process from screen optical detection and pixel size solution to sensor array structure design.

[0104] This invention also provides an under-display sensor adaptive pixel design device, including a processor and a memory storing executable instructions for the processor. The processor is configured to execute steps of an under-display sensor adaptive pixel design method by executing the executable instructions.

[0105] As described above, in this embodiment, a depth camera of a binocular system consisting of a first camera and a second camera is used to acquire a first image and a second image. The two different types of images are automatically exposed using the method described in the previous embodiment, overcoming the differences between the different types of images and achieving the purpose of accurate automatic exposure.

[0106] Those skilled in the art will understand that various aspects of the present invention can be implemented as systems, methods, or program products. Therefore, various aspects of the present invention can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "platform."

[0107] Figure 8 This is a schematic diagram of the structure of an under-display sensor adaptive pixel design device according to an embodiment of the present invention. The following refers to... Figure 8 To describe an electronic device 600 according to this embodiment of the present invention. Figure 8 The electronic device 600 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0108] like Figure 8 As shown, the electronic device 600 is presented in the form of a general-purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including storage unit 620 and processing unit 610), a display unit 640, etc.

[0109] The storage unit stores program code, which can be executed by the processing unit 610 to perform the steps described in the section on the under-display sensor adaptive pixel design method of this specification, according to various exemplary embodiments of the present invention. For example, the processing unit 610 can perform actions such as... Figure 1 The steps are shown in the figure.

[0110] Storage unit 620 may include readable media in the form of volatile storage units, such as random access memory (RAM) 6201 and / or cache memory 6202, and may further include read-only memory (ROM) 6203.

[0111] Storage unit 620 may also include a program / utility 6204 having a set (at least one) program module 6205, such program module 6205 including but not limited to: operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0112] Bus 630 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0113] Electronic device 600 can also communicate with one or more external devices 700 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with electronic device 600, and / or with any device that enables electronic device 600 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via input / output (I / O) interface 650. Furthermore, electronic device 600 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 660. Network adapter 660 can communicate with other modules of electronic device 600 via bus 630. It should be understood that, although... Figure 8 As not shown in the diagram, other hardware and / or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0114] This invention also provides a computer-readable storage medium for storing a program that, when executed, implements the steps of an under-display sensor adaptive pixel design method. In some possible implementations, various aspects of the invention can also be implemented as a program product comprising program code that, when run on a terminal device, causes the terminal device to perform the steps described in the above-described under-display sensor adaptive pixel design method section of this specification, according to various exemplary embodiments of the invention.

[0115] As shown above, when the program of the computer-readable storage medium of this embodiment is executed, it acquires a first image and a second image by using the depth camera of a binocular system composed of a first camera and a second camera, and automatically exposes the two different types of images by means of the method in the foregoing embodiment, thereby overcoming the differences between the different types of images and achieving the purpose of stable and fast automatic exposure.

[0116] Figure 9 This is a schematic diagram of the structure of a computer-readable storage medium according to an embodiment of the present invention. (Reference) Figure 9 As shown, a program product 800 for implementing the above-described method according to an embodiment of the present invention is described. It may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, the readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0117] The program product may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0118] Computer-readable storage media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable storage medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0119] Program code for performing the operations of this invention can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0120] In this embodiment of the invention, a first image and a second image are acquired by a depth camera of a binocular system consisting of a first camera and a second camera. The two different types of images are automatically exposed using the method described in the foregoing embodiment, overcoming the differences between the different types of images and achieving the purpose of stable and fast automatic exposure.

[0121] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The above description of the disclosed embodiments enables those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. Specific embodiments of the invention have been described above. It should be understood that the invention is not limited to the specific embodiments described above, and those skilled in the art can make various modifications or variations within the scope of the claims, which do not affect the essence of the invention.

Claims

1. A method for adaptive pixel design of an under-display sensor, characterized in that, Includes the following steps: Step S1: Under a standard white light source environment, test the transmittance of the display screen to R, G, and B monochromatic visible light, and obtain the optical attenuation ratio of the display screen to the three colors of light. Step S2: Determine the optimal area ratio based on the optical attenuation ratio and the pixel area-light intensity compensation inverse mapping model; Step S3: Construct a pixel repeating unit structure and a sensor array according to the optimal area ratio. Each pixel repeating unit structure contains at least one set of independent R, G, B monochrome pixels.

2. The under-display sensor adaptive pixel design method according to claim 1, characterized in that, Also includes: Step S4: The backend algorithm fine-tunes to converge to the optimal light intensity ratio for the human eye.

3. The under-display sensor adaptive pixel design method according to claim 1, characterized in that, Step S1 includes: S11: Under a standard white light source, the display screen is configured to be in a fully transparent state or at its highest brightness state; S12: Make the standard white light source emit R, G, and B rays separately, collect the transmitted light intensity data after the corresponding monochromatic light passes through the display screen, and simultaneously record the reference light intensity data of the incident standard light source. S13: Calculate the ratio of initial light intensity to transmitted light intensity to obtain the optical attenuation coefficients of R, G, and B monochrome pixels, and then obtain the optical attenuation ratio relationship between R, G, and B.

4. The under-display sensor adaptive pixel design method according to claim 1, characterized in that, Step S1 includes: S11: Under a standard white light source, the display screen is configured to be in a fully transparent state or at its highest brightness state; S14: Configure the sensor to receive signals and generate a mixed signal image; S15: Calculate the optical attenuation ratio relationship between R, G, and B based on the mixed signal image.

5. The under-display sensor adaptive pixel design method according to claim 1, characterized in that, Step S2 includes: Step S21: Set the target light intensity ratio as a weighted ratio under the standard human visual function; Step S22: Input the optical attenuation ratio into the pixel area-light intensity compensation inverse mapping model, which is constructed based on pixel aperture area, transmittance and output light intensity; Step S23: Solve for the area of ​​each monochrome pixel that makes the output light intensity match the target light intensity ratio, thereby determining the optimal area ratio.

6. The under-display sensor adaptive pixel design method according to claim 1, characterized in that, Step S3 includes: Step S31: Define the block of the pixel repeating unit, and re-divide the physical size of R, G, B sub-pixels within the block; Step S32: Based on the optimal area ratio, increase the physical size of the monochrome pixel with the lowest light transmittance, or decrease the physical size of the monochrome pixel with the highest light transmittance; Step S33: Map the adjusted pixel repeating unit structure to the entire sensor array to ensure that the spectral energy received by each sensing unit in the array is evenly distributed.

7. The under-display sensor adaptive pixel design method according to claim 6, characterized in that, The repeating unit structures of different pixels on the sensor array are arranged according to the light attenuation of the display screen, and are non-uniformly distributed.

8. An under-display sensor adaptive pixel design system, characterized in that, include: The testing module is used to test the transmittance of the display screen to monochromatic visible light (R, G, B) under a standard white light source environment, and to obtain the optical attenuation ratio of the display screen to the three colors of light. The matching module is used to determine the optimal area matching ratio based on the optical attenuation ratio relationship and the pixel area-light intensity compensation inverse mapping model; The design module is used to construct pixel repeating unit structures and sensor arrays according to the optimal area ratio, wherein each pixel repeating unit structure contains at least one set of independent R, G, B monochrome pixels.

9. An under-display sensor adaptive pixel design device, characterized in that, include: processor; A memory module that stores executable instructions of the processor; The processor is configured to perform the steps of the under-display sensor adaptive pixel design method according to any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium for storing a program, characterized in that, When the program is executed, it implements the steps of the under-display sensor adaptive pixel design method according to any one of claims 1 to 7.

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