An image acquisition method, a camera device and a storage medium

Abstract

The application provides an image acquisition method, a camera device and a storage medium. The image acquisition method is applied to a camera device including a light filtering module, and the image acquisition method includes: switching the light filtering module to block infrared light and acquiring a first color image; and switching the light filtering module to allow the infrared light to pass through and acquiring a first black-and-white image; performing image synthesis on the first black-and-white image and the first color image to obtain a second color image; and outputting the second color image. In the manner, different light filtering modules are switched to acquire a color image and a black-and-white image, the black-and-white image is used to synthesize the color image to improve the brightness and quality of the image, and the black-and-white image is generated after the color image, so that the loss of color information caused by the early switching of the light filtering module is avoided.

Description

Technical Field

[0001] This application relates primarily to the field of image acquisition technology, and in particular to an image acquisition method, a camera device, and a storage medium. Background Technology

[0002] Camera CMOS sensors have a wider range of visible light than the human eye, resulting in images that often appear color-distorted to the human eye. Optical systems typically incorporate filters to control the transmission and blocking of infrared light, better replicating human perception. Furthermore, products in security and law enforcement applications use IRCUT switchers to switch filters. In bright light, the IRCUT acts as an IR filter, filtering out infrared light invisible to the human eye, allowing the CMOS to generate a color image consistent with human vision. In low light, the IRCUT switches to an AR filter to increase the transmittance of infrared illumination, generating a monochrome image. However, in dimly lit scenarios where infrared light cannot be activated, the resulting color image from the CMOS is low in brightness and noise, severely impacting the user experience. Summary of the Invention

[0003] The main objective of this application is to provide an image acquisition method, camera device, and storage medium to solve the problem of poor image imaging effect caused by premature camera switching due to changes in light during existing image acquisition processes, thereby improving image brightness and image quality.

[0004] To address the aforementioned problems, this application provides an image acquisition method, a camera device, and a storage medium. The camera device includes an image sensor and a filter module. The image acquisition method includes: switching the filter module to block infrared light from passing through and acquiring a first color image through the image sensor; switching the filter module to allow infrared light to pass through and acquiring a first black and white image through the image sensor; and combining the first black and white image with the first color image to obtain a second color image.

[0005] In one embodiment, the image acquisition method further includes: acquiring the current ambient brightness value through an image sensor; when the ambient brightness value is less than or equal to a first brightness threshold and greater than or equal to a second brightness threshold, performing the following actions: switching the filter module to block infrared light from passing through and acquiring a first color image through the image sensor; switching the filter module to allow infrared light to pass through and acquiring a first black and white image through the image sensor; and combining the first black and white image with the first color image to obtain a second color image; wherein the first brightness threshold is greater than the second brightness threshold.

[0006] In one embodiment, the image acquisition method further includes: when the ambient brightness value is greater than a first brightness threshold, switching the filter module to block infrared light from passing through and acquiring a third color image through an image sensor.

[0007] In one embodiment, the image acquisition method further includes: when the ambient brightness value is less than a second brightness threshold, switching the filter module to allow infrared light to pass through and acquiring a second black and white image through an image sensor.

[0008] In one embodiment, before switching the filter module to allow infrared light to pass through, the image acquisition method further includes: turning on the infrared fill light for fill light.

[0009] In one embodiment, the image acquisition method further includes: obtaining the remaining battery power of the camera device; and, if the remaining battery power of the camera device is greater than a set battery threshold, turning on the infrared fill light for supplementary lighting.

[0010] In one embodiment, when the remaining battery power of the camera device is greater than a set battery threshold, the infrared fill light is turned on for supplemental lighting, including: responding to a current photo-taking operation and the remaining battery power of the camera device being greater than a first battery threshold, the infrared fill light is turned on for supplemental lighting; or responding to a current video-recording operation and the remaining battery power of the camera device being greater than a second battery threshold, the infrared fill light is turned on for supplemental lighting; wherein the second battery threshold is greater than the first battery threshold.

[0011] In one embodiment, combining a first black-and-white image with a first color image to obtain a second color image includes: acquiring grayscale information of the first black-and-white image; determining brightness information of the first black-and-white image based on the grayscale information; and performing brightness compensation on the first color image using the brightness information to obtain the second color image.

[0012] In one embodiment, the image acquisition method further includes: adjusting the exposure parameters of the second color image and outputting the adjusted second color image.

[0013] To address the aforementioned issues, this application also provides a camera device comprising: an image sensor; a filter module; a memory; and a processor connected to the image sensor, the filter module, and the memory, wherein the processor is configured to execute the image acquisition method described in any of the above embodiments.

[0014] This application provides an image acquisition method applied to a camera device, which includes an image sensor and a filter module. The image acquisition method includes: switching the filter module to block infrared light from passing through and acquiring a first color image through the image sensor; switching the filter module to allow infrared light to pass through and acquiring a first black and white image through the image sensor; and combining the first black and white image with the first color image to obtain a second color image.

[0015] By switching different filter modules to acquire color and black-and-white images, the black-and-white images are used to synthesize the color images to improve the brightness and quality of the images. Furthermore, the black-and-white images are generated later than the color images to avoid the loss of color information caused by premature switching of the filter modules. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0017] Figure 1 This is a flowchart illustrating the steps of the first embodiment of the image acquisition method provided in this application;

[0018] Figure 2 This is a flowchart illustrating the steps of the second embodiment of the image acquisition method provided in this application;

[0019] Figure 3 This is a flowchart illustrating the steps of the third embodiment of the image acquisition method provided in this application;

[0020] Figure 4 This is a flowchart illustrating the steps of the fourth embodiment of the image acquisition method provided in this application;

[0021] Figure 5 This is a flowchart illustrating the steps of the fifth embodiment of the image acquisition method provided in this application;

[0022] Figure 6 This is a schematic diagram of the structure of an embodiment of the camera device provided in this application;

[0023] Figure 7 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are only for explaining this application and not for limiting it. Furthermore, it should be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all structures. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0025] The terms "first," "second," etc., used in this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] This application provides an image acquisition method, a camera device, and a storage medium, see below. Figure 1 As shown, Figure 1 This is a schematic flowchart of the first embodiment of the image acquisition method provided in this application; wherein, the camera device includes an image sensor and a filter module, and the image acquisition method includes the following steps:

[0028] Step S10: Switch the filter module to block infrared light from passing through and acquire the first color image through the image sensor.

[0029] Understandably, in one embodiment, the filtering module is an infrared cut-off filter (IRCUT), an optical filter commonly used in photographic and video equipment to filter out infrared light in order to improve image quality.

[0030] Step S20: Switch the filter module to allow infrared light to pass through and acquire the first black and white image through the image sensor.

[0031] By controlling the IRCUT to switch different configurations, for example, in one embodiment, the first color image is obtained by switching the IRCUT to an IR film for image acquisition, and the first black and white image is obtained by switching the IRCUT to an AR film for image acquisition.

[0032] IR and AR filters refer to two different types of filters, each with a different function: IR (Infrared) filter: The main function of this filter is to block or absorb infrared light. In surveillance cameras or photographic equipment, IR filters are used to block infrared light, which is invisible to the human eye, to avoid its impact on image quality, especially during the day or in well-lit environments. When an IR filter is in operation, it can reduce or eliminate color cast problems caused by infrared light; for example, green plants may appear grayish-white due to infrared interference, and red clothing may appear lighter in color. AR (Anti-reflective) filter: AR filters are typically used to increase the light transmittance of a lens and reduce reflections, thereby increasing the amount of light reaching the imaging sensor. This filter allows visible light and a certain range of near-infrared light to pass through, improving image brightness and clarity. In nighttime or low-light environments, AR filters can improve the low-light performance of cameras because they allow more light to enter the lens, contributing to increased image brightness.

[0033] Step S30: Combine the first black and white image with the first color image to obtain the second color image.

[0034] Optionally, in one embodiment, combining a first black-and-white image with a first color image to obtain a second color image includes: acquiring grayscale information of the first black-and-white image; determining brightness information of the first black-and-white image based on the grayscale information; and using the brightness information to perform brightness compensation on the first color image to obtain the second color image.

[0035] Understandably, in the step of image compositing between the first black-and-white image and the first color image, methods including but not limited to YUV or RAW images with different exposures can be used. In YUV color space compositing, YUV is a color coding system where Y represents luminance, and U and V represent chrominance. Compositing images in the YUV space allows for optimization of the image's visual effect by independently adjusting the luminance and chrominance components. In RAW image compositing, RAW images are raw data directly acquired from the camera sensor without internal camera processing. RAW image compositing involves combining multiple RAW images using specific algorithms, such as adjusting parameters like exposure and white balance, and then performing tone mapping to generate the final image.

[0036] Optionally, in one embodiment, after acquiring the first color image, the process further includes preprocessing the first color image to obtain a preprocessed first color image, which is then synthesized with the first black and white image. It is understood that image preprocessing is a crucial step in image analysis and computer vision, involving a series of operations on the original image data to improve image quality, enhance features, or simplify subsequent processing tasks. Its purpose is to improve image quality and usability, reduce the complexity of subsequent processing steps, and improve the accuracy and efficiency of image analysis. The choice of preprocessing steps depends on the specific application requirements and the characteristics of the image. The preprocessing methods involved include, but are not limited to: Grayscale Conversion: converting a color image to a grayscale image, reducing processing time and complexity while retaining important image information; Histogram Equalization: adjusting the image contrast to make the image histogram more evenly distributed, enhancing image visibility; Filtering: using various filters (such as Gaussian filtering, median filtering, bilateral filtering, etc.) to reduce image noise, blur the image, or preserve edge information. Edge detection identifies edges in an image, providing a foundation for subsequent image segmentation and feature extraction. Image sharpening enhances image edges, improving image clarity. Image resizing changes the size of an image to suit different display or processing requirements. Rotation and correction corrects geometric distortions in an image or rotates the image as needed. Color space transformation converts images between different color spaces (such as RGB, HSV, YCbCr, etc.) to suit specific processing needs. Normalization scales image pixel values ​​to a specific range, such as 0 to 1, to improve numerical stability and processing efficiency. Image segmentation divides an image into multiple regions or objects for individual processing or analysis. Background subtraction removes the background from an image, highlighting foreground objects. Morphological operations, such as erosion and dilation, are used to change the shape or structural features of an image. Noise estimation and removal: Estimating the type of noise in an image and removing it to improve image quality. Feature enhancement: Highlighting specific features in an image, such as texture and corners.Image registration aligns multiple images to facilitate comparison or fusion, among other methods.

[0037] Optionally, in one embodiment, after image synthesis is completed, the exposure parameters are adjusted. Adjusting the exposure parameters after image synthesis is mainly used to improve the visual effect of the synthesized image and balance the brightness and contrast of different parts, so as to further meet the image quality requirements in subsequent shooting processes. When the ambient light intensity changes, the exposure parameters are adjusted by statistical brightness, so that the exposure of the subsequently acquired image is close to the optimal exposure. This ensures the integrity of the color information of the color image corresponding to the subsequently acquired image, as well as the integrity of the detail information of the black and white image corresponding to the subsequently acquired image, thereby improving the image quality and enabling the image acquisition device to adaptively work in environments corresponding to various ambient light intensities.

[0038] Understandably, by using the above method, which combines a single camera with IRCUT (dual filters), only a regular low-end CPU is needed, without the need for a special CPU or a separate ISP chip.

[0039] Alternatively, in one embodiment, refer to Figure 2 As shown, Figure 2 This is a schematic flowchart of the second embodiment of the image acquisition method provided in this application; specifically, the image acquisition method further includes the following steps:

[0040] Step S40: Obtain the current ambient brightness value using the image sensor.

[0041] Understandably, after receiving a photo or video recording instruction from the device terminal, the brightness of the current ambient light is determined by a light sensor. This light sensor can be built-in or external, and it is a light sensor with an infrared cut-off filter.

[0042] Step S50: When the ambient brightness value is less than or equal to the first brightness threshold and greater than or equal to the second brightness threshold, the following steps are performed: switching the filter module to block infrared light from passing through and acquiring a first color image through the image sensor; switching the filter module to allow infrared light to pass through and acquiring a first black and white image through the image sensor; and combining the first black and white image with the first color image to obtain a second color image; wherein the first brightness threshold is greater than the second brightness threshold.

[0043] Understandably, when the light sensor detects that the current ambient light brightness is between a first brightness threshold and a second brightness threshold, i.e., the ambient light value is less than or equal to the first brightness threshold and greater than or equal to the second brightness threshold, the current ambient light is determined to be a dim scene. For example, in one embodiment, in a dim scene, the IRCUT initially switches to an IR screen to acquire color images. After the color image acquisition is completed, it switches back to an AR screen to acquire black and white images. It can be seen that by delaying the transition from color to black and white images during the acquisition process, i.e., completing the color image acquisition first and then acquiring the black and white image, the camera avoids prematurely switching to black and white images, thus preventing the loss of color information and improving the display quality and user experience.

[0044] The above methods can improve the brightness of color images in low-light scenes, reduce image noise, enhance image quality, and improve product competitiveness. This method does not require changes to the camera structure, does not increase costs, and can improve product imaging performance and enhance user experience through software control.

[0045] Alternatively, in one embodiment, refer to Figure 3 As shown, Figure 3 This is a flowchart illustrating the steps of the third embodiment of the image acquisition method provided in this application; specifically, the image acquisition method further includes: step S51: when the ambient brightness value is greater than the first brightness threshold, the filter module is switched to block infrared light from passing through and a third color image is acquired through the image sensor.

[0046] Alternatively, in one embodiment, refer to Figure 4 As shown, Figure 4 This is a flowchart illustrating the steps of the fourth embodiment of the image acquisition method provided in this application; specifically, the image acquisition method further includes: step S52: when the ambient brightness value is less than the second brightness threshold, the filter module is switched to allow infrared light to pass through and a second black and white image is acquired through the image sensor.

[0047] Understandably, different scheme settings are used for different brightness environments. Similarly, different schemes are added based on the different brightness of the ambient light detected by the light sensor to meet the shooting needs under different ambient light conditions. Corresponding to the first brightness threshold and the second brightness threshold mentioned above, in a scene with bright ambient light, the steps of switching the filter module to block infrared light and acquiring a third color image and outputting the third color image are executed. In addition, in a scene with very dark ambient light, since there is not much light that can be captured by the camera device, it is only necessary to execute the steps of switching the filter module to allow infrared light to pass through and acquiring a second black and white image and outputting the second black and white image to obtain a black and white image.

[0048] Optionally, in one embodiment, before switching the filter module to allow infrared light to pass through, the image acquisition method further includes: turning on the infrared fill light for fill light.

[0049] Understandably, in low-light environments, the lack of visible light can lead to blurry images or unclear details. Infrared supplemental lighting can provide an additional light source, helping the camera capture clear images. Furthermore, infrared supplemental lighting can increase the contrast of light in a scene, helping image processing algorithms better distinguish different objects and backgrounds, thereby improving image analysis and recognition capabilities. In short, infrared supplemental lighting is used to improve image acquisition quality in less-than-ideal lighting conditions, ensuring the reliability and effectiveness of shooting. Therefore, when capturing black and white images in low light, adding infrared supplemental lighting can more effectively improve image quality and meet usage requirements.

[0050] Optionally, in one embodiment, the image acquisition method further includes: obtaining the remaining battery power of the camera device; and, if the remaining battery power of the camera device is greater than a set battery threshold, turning on the infrared fill light for supplementary lighting.

[0051] Understandably, in the above embodiments, the battery power of the device terminal is further limited by setting a power threshold to restrict some steps in the solution, so as to avoid excessive power consumption due to high power consumption in some steps, which would lead to a shorter standby or usage time of the device and affect the user experience.

[0052] Among them, the steps of supplementing the infrared fill light or switching the filter module to allow infrared light to pass through all require additional power consumption of the device. Therefore, when the device power is insufficient, the above steps need to be restricted to meet the basic usage requirements of the device and thus extend the device's usage time.

[0053] Optionally, in one embodiment, when the remaining battery power of the camera device is greater than a set battery threshold, the infrared fill light is turned on for supplemental lighting, including: responding to a current photo-taking operation and the remaining battery power of the camera device being greater than a first battery threshold, the infrared fill light is turned on for supplemental lighting; or responding to a current video-recording operation and the remaining battery power of the camera device being greater than a second battery threshold, the infrared fill light is turned on for supplemental lighting; wherein the second battery threshold is greater than the first battery threshold.

[0054] Regarding the power threshold limitation in the above embodiments, further subdivisions are made for different device power levels and corresponding operation steps. Specifically, a first power threshold is set to limit the operation requiring video recording, and a corresponding second power threshold is set to limit the operation requiring shooting. It is understood that when recording in low light, the infrared light needs to be turned on for a long time for supplementary lighting and IRCUT switching, resulting in relatively high power consumption. However, when taking photos in low light, only the infrared light needs to be turned on for supplementary lighting and IRCUT switching is required momentarily, resulting in lower power consumption compared to video recording. Therefore, different power thresholds are set for different shooting modes to meet different shooting needs when the device has different low power levels. This can also further improve the user's current device power remaining value and enhance the user experience.

[0055] See Figure 5 As shown, Figure 5 This is a flowchart illustrating the steps of the fifth embodiment of the image acquisition method provided in this application. Specifically, in conjunction with the methods described in the above embodiments, a specific comprehensive solution is formed by setting threshold schemes corresponding to different ambient light conditions, so as to further improve the device's usage requirements and enhance the device's shooting requirements in different lighting scenarios, thereby improving the quality of the captured images.

[0056] The main solutions include:

[0057] Upon receiving the shooting command, the light sensor (external or internal) detects and determines the current ambient light level, and executes different steps accordingly based on the determination of the ambient light value.

[0058] When the ambient brightness is less than or equal to a first brightness threshold and greater than or equal to a second brightness threshold, the color camera (IR RCUT) acquires an image. This process is divided into two parts: 1. Image preprocessing. 2. Activating the infrared fill light, switching the IR RCUT to an AR RCUT (the image is black and white, not displayed), acquiring grayscale information, and obtaining brightness information based on the above conditions. Combining the image preprocessing and the acquired brightness information, the image is synthesized, and the exposure parameters are optimized and adjusted. Finally, a brighter color image is output.

[0059] When the ambient brightness value is greater than the first brightness threshold, the color camera (IR RCUT is an IR film) performs image acquisition, image preprocessing, and generates a color image.

[0060] When the current ambient brightness is less than the second brightness threshold, turn on the infrared fill light, switch the I RCUT to the AR film, the image becomes black and white, and perform image acquisition, image preprocessing and generate a black and white image.

[0061] Optionally, in one embodiment, the image acquisition method further includes: adjusting the exposure parameters of the second color image and outputting the adjusted second color image.

[0062] By controlling different switching configurations of a single-camera IRCUT, brightness information is extracted from black and white images to enhance the brightness of color images. This improves the brightness of color images generated in low-light scenes, reduces image noise, and controls the delay of black and white imaging in low-light environments to prevent the camera from switching to black and white images too early and losing color information, thereby improving the user experience.

[0063] To address the aforementioned problems, this application also provides a camera device 100, such as... Figure 6 As shown, Figure 6 This is a schematic diagram of the structure of an embodiment of the camera device provided in this application; specifically, the camera device 100 includes: an image sensor 140; a filter module 110; a memory 120; and a processor 130 connected to the image sensor 140, the filter module 110, and the memory 120. The processor 130 is configured to execute the image acquisition method described in any of the above embodiments.

[0064] To address the aforementioned problems, this application also provides a computer-readable storage medium 200, such as... Figure 7 As shown, Figure 7 This is a schematic diagram of the structure of an embodiment of the computer-readable storage medium provided in this application; specifically, the computer-readable storage medium 200 stores program data 210, which, when executed by the processor 130, is used to implement the image acquisition method described in any of the above embodiments.

[0065] This application provides an image acquisition method applied to a camera device 100, which includes an image sensor 140 and a filter module 110. The image acquisition method includes: switching the filter module to block infrared light from passing through and acquiring a first color image through the image sensor; switching the filter module to allow infrared light to pass through and acquiring a first black and white image through the image sensor; and combining the first black and white image with the first color image to obtain a second color image.

[0066] By switching different filter modules to acquire color and black-and-white images, the black-and-white images are used to synthesize the color images to improve the brightness and quality of the images. Furthermore, the black-and-white images are generated later than the color images to avoid the loss of color information caused by premature switching of the filter modules.

[0067] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. An image acquisition method, applied to a camera device, characterized in that, The camera device includes an image sensor and a filter module, and the image acquisition method includes: The filter module is switched to block infrared light from passing through, and a first color image is acquired by the image sensor. Switch the filter module to allow infrared light to pass through and acquire a first black and white image through the image sensor; The first black-and-white image and the first color image are combined to obtain a second color image.

2. The image acquisition method according to claim 1, characterized in that, The image acquisition method further includes: The current ambient brightness value is obtained through the image sensor; When the ambient brightness value is less than or equal to a first brightness threshold and greater than or equal to a second brightness threshold, the following steps are performed: switching the filter module to block infrared light from passing through and acquiring a first color image through the image sensor; switching the filter module to allow infrared light to pass through and acquiring a first black and white image through the image sensor; and combining the first black and white image with the first color image to obtain the second color image. Wherein, the first brightness threshold is greater than the second brightness threshold.

3. The image acquisition method according to claim 2, characterized in that, The image acquisition method further includes: When the ambient brightness value is greater than the first brightness threshold, the filter module is switched to block infrared light from passing through and a third color image is acquired by the image sensor.

4. The image acquisition method according to claim 2, characterized in that, The image acquisition method further includes: When the ambient brightness value is less than the second brightness threshold, the filter module is switched to allow infrared light to pass through and a second black and white image is acquired by the image sensor.

5. The image acquisition method according to claim 1 or 4, characterized in that, Before switching the filter module to allow infrared light to pass through, the image acquisition method further includes: Turn on the infrared fill light for supplemental lighting.

6. The image acquisition method according to claim 5, characterized in that, The image acquisition method further includes: Obtain the remaining battery level of the camera device; When the remaining battery power of the camera device is greater than a set battery threshold, the infrared fill light is turned on for supplemental lighting.

7. The image acquisition method according to claim 6, characterized in that, When the remaining battery power of the camera device is greater than a set battery threshold, the step of activating the infrared fill light for supplemental lighting includes: In response to the current photo-taking operation and the remaining battery level of the camera device being greater than a first battery threshold, the infrared fill light is activated for supplemental lighting; or In response to the current recording operation and the remaining battery value of the camera device being greater than the second battery threshold, the infrared fill light is turned on for supplementary lighting; Wherein, the second power threshold is greater than the first power threshold.

8. The image acquisition method according to claim 1, characterized in that, The step of combining the first black-and-white image with the first color image to obtain a second color image includes: Obtain the grayscale information of the first black and white image; The brightness information of the first black and white image is determined based on the grayscale information; The brightness information is used to perform brightness compensation on the first color image to obtain the second color image.

9. The image acquisition method according to claim 1, characterized in that, The image acquisition method further includes: Adjust the exposure parameters of the second color image and output the adjusted second color image.

10. A camera device, characterized in that, The camera device includes: Image sensor; Filter module; Memory; A processor, connected to the image sensor, the filter module, and the memory, is configured to perform the image acquisition method as described in any one of claims 1-9.

Images