CN116055902A - Image generation method and device, image sensor and storage medium - Google Patents

Abstract

The present application provides an image generation method, device, image sensor and storage medium, the method includes: after the image sensor generates the original image file at the actual working time, call the target pixel position and the corresponding target pixel position stored in the preset correction file Correction parameters; correct the original digital image signal value corresponding to the target pixel position according to the correction parameter to obtain the corrected digital image signal value; calculate the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculate the effective digital image signal value based on the original digital image signal value The image signal value computes the effective digital image signal values for pixel positions other than the target pixel position; combines the effective digital image signal values for all pixel positions to generate the target output image. Through the implementation of the scheme of this application, the original digital image signal values of some pixel positions are locally corrected, and then the target output image is generated by combining the effective digital image signal values of all pixel positions, so as to eliminate the noise factor introduced in the sensor output signal and improve the quality of the target output image.

Description

An image generation method, device, image sensor and storage medium

technical field

The present application relates to the technical field of image sensors, and in particular to an image generation method, device, image sensor and storage medium.

Background technique

With the continuous development of science and technology, image sensors are widely used in smart phones, digital cameras, security cameras and other product fields. At present, image sensors usually directly obtain the original digital image signal value in the original image file to generate an image under working conditions. However, the influence of noise factors is not considered, resulting in low quality of the final generated image, especially in the scene where the image sensor generates a color image, for the image sensor based on the Bayer array, it is necessary to use an interpolation method to generate a color image, and the noise factor has a great impact on the image quality. The quality of the resulting color image is even more affected.

Contents of the invention

Embodiments of the present application provide an image generation method, device, image sensor, and storage medium, which can at least solve the problem of poor image quality caused by image sensors in related technologies directly generating images based on original digital image signal values in original image files. low problem.

The first aspect of the embodiment of the present application provides an image generation method, including: after the image sensor generates the original image file at the actual working time, calling the target pixel position and the corresponding correction parameters stored in the preset correction file; wherein, The original image file includes the original digital image signal value corresponding to each pixel position in the overall pixel array; the original digital image signal value corresponding to the target pixel position is corrected according to the correction parameter to obtain a corrected digital image signal value; calculate the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculate the effective digital image signal value of other pixel positions except the target pixel position based on the original digital image signal value digital image signal values; combining said effective digital image signal values for all said pixel locations to generate a target output image.

The second aspect of the embodiment of the present application provides an image generating device, including: a calling module, used to call the target pixel positions stored in the preset correction file and the corresponding Correction parameters; wherein, the original image file includes an original digital image signal value corresponding to each pixel position in the overall pixel array; a correction module is used to correct the original digital image signal corresponding to the target pixel position according to the correction parameter Value is corrected to obtain the corrected digital image signal value; the calculation module is used to calculate the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculate the division based on the original digital image signal value The effective digital image signal values of pixel positions other than the target pixel position; a generating module, configured to combine the effective digital image signal values of all the pixel positions to generate a target output image.

The third aspect of the embodiment of the present application provides an image sensor, including: a memory and a processor, wherein the processor is used to execute a computer program stored in the memory, and when the processor executes the computer program, the above-mentioned first embodiment of the present application is realized. Each step in the image generation method provided by the aspect.

The fourth aspect of the embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor, the above-mentioned steps in the image generation method provided by the first aspect of the embodiment of the present application are implemented. .

It can be seen from the above that, according to the image generation method, device, image sensor and storage medium provided by the scheme of the present application, after the image sensor generates the original image file at the actual working time, the target pixel position stored in the preset correction file and the corresponding correction parameters, wherein the original image file includes the original digital image signal value corresponding to each pixel position in the overall pixel array; the original digital image signal value corresponding to the target pixel position is corrected according to the correction parameter to obtain the corrected digital image signal value; Calculate the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculate the effective digital image signal value of other pixel positions except the target pixel position based on the original digital image signal value; combine the significant figures of all pixel positions The image signal values generate the target output image. Through the implementation of the scheme of this application, the original digital image signal values of some pixel positions are locally corrected, and then the target output image is generated by combining the effective digital image signal values of all pixel positions, so as to eliminate the noise factor introduced in the sensor output signal and improve the quality of the target output image.

Description of drawings

FIG. 1 is a schematic diagram of the basic flow of an image generation method provided by an embodiment of the present application;

Fig. 2 is a schematic diagram of assignment of an overall pixel array provided by an embodiment of the present application;

FIG. 3 is a schematic diagram of a refinement process of an image generation method provided by an embodiment of the present application;

FIG. 4 is a schematic diagram of program modules of an image generation device provided by an embodiment of the present application;

FIG. 5 is a schematic structural diagram of an image sensor provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.

In the description of the embodiments of the present application, it should be understood that the terms "first" and "second" are only used for descriptive purposes, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the indicated technical features. quantity. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the embodiments of the present application, "plurality" means two or more, unless otherwise specifically defined.

An image generation method, device, image sensor, and storage medium according to the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

In order to solve the problem in the related art that the image sensor directly generates the target output image based on the original digital image signal value in the original image file, resulting in low quality of the target output image, an embodiment of the present application provides an image generation method, Applied to an image sensor, the overall pixel array of the image sensor can preferably be configured as an APS (Active-Pixel Sensor, active pixel sensor) pixel, and the active pixel sensor is a commonly used image sensor, wherein each pixel sensor unit has A photodetector and at least one active transistor. In a metal-oxide-semiconductor (MOS) active pixel sensor, a MOS field-effect transistor (MOSFET) is used as an amplifier. There are many types of APS, including early NMOS-type APSs and more Common CMOS type APS.

Figure 1 is a basic flowchart of an image generation method provided by an embodiment of the present application, the image generation method specifically includes the following steps:

Step 101, after the image sensor generates the original image file at the actual working moment, call the target pixel position and the corresponding correction parameters stored in the preset correction file.

Specifically, in this embodiment, when the image sensor enters the working state, the photodetectors configured by each pixel in the overall pixel array perform photosensitive detection synchronously, thereby generating an original image file (that is, a RAW file). The original image file refers to an image The sensor converts the captured light signal into the original data of the digital signal. For the APS image sensor, the original image file includes the original digital image signal value corresponding to each pixel position in the overall pixel array. It should be understood that the image sensor in this embodiment is calibrated with a calibration file after the testing phase, which is used to correct the digital image signal value in the actual working phase. In a preferred embodiment, the above-mentioned digital image signal values may be grayscale values.

In an optional manner of this embodiment, before the above-mentioned step of calling the target pixel position stored in the preset correction file and the corresponding correction parameters, it also includes: obtaining the An original image file; calculating an average noise digital image signal value associated with dark current based on the original digital image signal value in the original image file; generating a correction file according to the average noise digital image signal value.

Specifically, in practical applications, there is dark current in the circuit of the image sensor, so that when there is no light irradiation, the pixel circuit will also generate a certain output voltage, thereby generating dark current. Then under lighting conditions, the output signal of the image sensor is an effective signal superimposed on the dark current signal, resulting in obvious dark noise in the output signal. When the dark current is too large, it will affect the permeability, contrast, and clarity of the output image. Significantly affected.

Based on this, the present embodiment controls the image sensor to work under dark field conditions during the test phase, and the generated original digital image signal value corresponds to the dark current signal, by calculating the average value of the original digital image signal values at all pixel positions, that is The average noise digital image signal value associated with the dark current can be obtained, and then the correction file is calibrated based on the average noise digital image signal value. It should be noted that this embodiment can control part of the pixel array area in the overall pixel array of the image sensor to be in the dark field condition, that is, some pixels in the overall pixel array are used as light-shielding pixels, and some pixels are protected from light, so as to obtain Average noise digital image signal value.

Further, in an optional manner of this embodiment, the above-mentioned step of generating the correction file according to the average noise digital image signal value includes: obtaining the value of the fractional part of the average noise digital image signal value, and obtaining the total pixel value of the overall pixel array Quantity; generates correction files based on fractional values and total pixel counts.

Specifically, in the related art, the correction of the fractional part of the dark current signal is usually not considered when performing gray scale correction on the image sensor, and the average noise digital image signal value is 4.4, and usually only the correction of the dark current caused by The integer part of the average noise digital image signal value is corrected, that is, the fractional part 0.4 of the average digital image signal value is used as an effective signal component, which will cause image color cast and proportional imbalance. This proportional imbalance will change the ratio between RGB and thus Color cast occurs. In this embodiment, the fractional part of the average noise digital image signal value is also confirmed as the dark current signal to be corrected, and a correction file is generated accordingly, so as to improve the quality of the target output image generated by the image sensor in the actual working process.

Furthermore, in an optional manner of this embodiment, the above-mentioned step of generating the correction file based on the decimal value and the total number of pixels includes: inputting the decimal value and the total number of pixels into the preset index calculation formula, and calculating Correcting the number of pixels and correction parameters; generating a correction file based on the correction parameters and target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected; wherein, the correction parameters of all target pixel positions are equal.

The above index calculation formula can be expressed as:

a*b=C(m*n),

C*n=1;

Among them, a represents the value of the decimal part, b represents the total number of pixels, C represents a known constant, m represents the number of pixels to be corrected, n represents the correction parameter and its value is a negative value.

Specifically, in this embodiment, the value of the fractional part is multiplied by the total number of pixels, and the result is the return of the value of the fractional part of the unit pixel to the total value of the overall pixel array of the image sensor, and the final product is the average value of the correction required by the overall pixel array The sum of the fractional part values of the dark current signal. Figure 2 is a schematic diagram of the assignment of an overall pixel array provided by this embodiment. The pixel positions marked with "-1" in the figure are the target pixel positions of this embodiment. This figure shows that the overall pixel array The 10 pixel positions in are used as the pixels to be corrected, and the corresponding correction parameters of these 10 pixels to be corrected are all "-1". In this embodiment, the value of C can preferably be -1, then the value of n is also -1, continuing the above-mentioned example where the fractional part of the average noise digital image signal value is 0.4, if the size of the overall pixel array is 5*5, that is, the overall pixel array includes 25 pixels, then the value of m is 10, that is, 10 pixels are selected from a total of 25 pixels as the pixels to be corrected, and the correction parameters of these pixels are assigned as -1. It should be noted that the size of the overall pixel array shown in FIG. 2 of this embodiment is only an exemplary illustration, and does not limit the size of the pixel array in practical applications.

Of course, in practical applications, the value of C and/or n can also be other values. For example, if C takes -0.5 and n still takes -1, then the value of m is 20, that is, from Select 20 pixels from a total of 25 pixels as the pixels to be corrected, and assign the correction parameter value -1; or, the value of C is -1, the value of n is -2, then the value of m is 5, That is, 5 pixels are selected from a total of 25 pixels as pixels to be corrected, and all of them are given a correction parameter value of -2. It should be understood that, the foregoing description of this embodiment is only some exemplary implementations, and does not constitute the only limitation of this embodiment.

Step 102: Correct the original digital image signal value corresponding to the target pixel position according to the correction parameter to obtain a corrected digital image signal value.

Specifically, in this embodiment, in order to correct the fractional part of the average noise digital image signal value caused by the dark current signal, the partial pixel positions to be corrected are determined from the overall pixel array based on the correction file, and the correction file is used. The preset correction parameters perform the first-stage correction on the original digital image signal value, that is, correct the original signal of local pixels, and realize the correction of the fractional part of the average noise digital image signal value.

Step 103 : Calculate the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculate the effective digital image signal value of other pixel positions except the target pixel position based on the original digital image signal value.

Specifically, in this embodiment, further performing the second-stage correction on all pixels in the overall pixel array can be understood as correcting the integer part of the average noise digital image signal value, wherein, for the target pixel position, the basis for correction is after the first For the corrected digital image signal value after the one-stage correction, for other pixel positions on the overall pixel array, the correction basis is the corresponding original digital image signal value in the original image file.

In an optional implementation manner of this embodiment, the above-mentioned effective digital image signal value of the target pixel position is calculated based on the corrected digital image signal value, and the effective digital image signal value of other pixel positions other than the target pixel position is calculated based on the original digital image signal value. The step of the effective digital image signal value includes: calculating the difference between the corrected digital image signal value and the integer value of the average noise digital image signal value, obtaining the effective digital image signal value of the target pixel position, and calculating the difference between the target pixel position The difference between the original digital image signal value of other pixel positions and the value of the integer part is obtained to obtain the effective digital image signal value of other pixel positions.

Specifically, in this embodiment, the aforementioned average noise digital image signal value is 4.4 for further illustration. The integer part of the average noise digital image signal value is also 4. Then, when performing the second-stage correction, after correction of the target pixel position The digital image signal value, the calculated value obtained after subtracting 4 is the effective digital image signal value of the target pixel position, and for the original digital image signal value of other pixel positions, similarly, the calculated value obtained after subtracting 4 is is the effective digital image signal value of other pixel positions.

Step 104, combining effective digital image signal values at all pixel positions to generate a target output image.

Specifically, after the aforementioned correction process, the original digital image signal value of the pixel is corrected for dark current noise, so that the final result is an effective digital image signal value, and the finally generated target output image excludes the influence of the dark current of the sensor circuit itself , effectively improving the output target output image quality. It should be understood that the type of the target output image in this embodiment may be a grayscale image or a color image.

In an optional implementation manner of this embodiment, before the step of inputting the fractional part value and the total number of pixels into the preset index calculation formula, and calculating the number of pixels to be corrected and the correction parameters, it also includes: respectively according to different scene dynamic levels Determine the corresponding known constants. Correspondingly, the step of generating the correction file based on the correction parameters and the target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected includes: for each scene dynamic level, based on the correction parameters and the selected from the overall pixel array Corresponding to the target pixel position corresponding to the number of pixels to be corrected, a corresponding correction file is generated. Correspondingly, the step of calling the target pixel position and the corresponding correction parameters stored in the preset correction file includes: calling the corresponding correction file according to the actual scene dynamic level, and obtaining the target pixel position and the corresponding correction parameter stored in the correction file. Calibration parameters.

Specifically, this embodiment considers that the actual imaging scene of the image sensor is different, especially the dynamic level of the scene is different, for example, the dynamic level is higher in a moving shooting scene or under high ambient brightness, and the dynamic level is higher in a still shooting scene or low. Dynamic levels in ambient light are relatively low. In order to ensure better imaging quality under different imaging scenes, this embodiment associates different values of the known constant C for different scene dynamic levels, and accordingly generates multiple different correction files for different scene dynamic levels, so that In the actual working process of the image sensor, the correction file can be called adaptively according to the dynamic level of the actual scene, so as to improve the applicability of the digital image signal value correction mechanism of this embodiment in different imaging scenes.

Further, in an optional implementation manner of this embodiment, before the above-mentioned step of generating a corresponding correction file based on the correction parameters and the target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected, further includes: Correspondingly determine the array area of interest in the overall pixel array according to the dynamic level of the scene; select the target pixel position corresponding to the number of pixels to be corrected from the array area of interest.

Specifically, in practical applications, the target pixel position required to participate in the correction of the average noise digital image signal value can be randomly selected from the overall pixel array, and in order to improve the adaptability of the sensor imaging behavior to the actual imaging scene, this embodiment according to The actual scene dynamic level adaptively selects a specific array area in the overall pixel array as an array area of interest, and selects a target pixel position from the array area of interest.

Based on the technical solutions of the above-mentioned embodiments of the present application, after the image sensor generates the original image file at the actual working time, call the target pixel position and the corresponding correction parameters stored in the preset correction file, wherein the original image file includes the overall pixel array The original digital image signal value corresponding to each pixel position in the center; the original digital image signal value corresponding to the target pixel position is corrected according to the correction parameters, and the corrected digital image signal value is obtained; the effective value of the target pixel position is calculated based on the corrected digital image signal value digital image signal values, and calculating effective digital image signal values at pixel positions other than the target pixel position based on the original digital image signal values; combining effective digital image signal values at all pixel positions to generate a target output image. Through the implementation of the scheme of this application, the original digital image signal values of some pixel positions are locally corrected, and then the target output image is generated by combining the effective digital image signal values of all pixel positions, so as to eliminate the noise factor introduced in the sensor output signal and avoid It eliminates image color cast and proportional imbalance, ensures image balance, and improves the quality of the target output image.

Next, this embodiment further provides a refined image generation method, as shown in FIG. 3 , which is a schematic flowchart of a refined image generation method provided by an embodiment of the present application. The image generation method specifically includes Follow the steps below:

Step 301. Obtain the original image file generated by the image sensor under the dark field condition during the test operation;

Step 302, calculating the average noise gray value associated with the dark current based on the original gray value in the original image file;

Step 303, obtaining the value of the fractional part of the average noise gray value, and obtaining the total number of pixels of the overall pixel array;

Step 304, input the value of the decimal part and the total number of pixels into the preset index calculation formula, and calculate the number of pixels to be corrected and the pixel gray scale correction value;

Step 305, based on the pixel grayscale correction value and the target pixel position selected from the overall pixel array corresponding to the number of pixels to be corrected, a correction file is generated;

Step 306: After the image sensor generates the original image file at the actual working moment, call the target pixel position and the corresponding pixel grayscale correction value stored in the preset correction file;

Step 307, making a difference between the original gray value corresponding to the target pixel position and the corrected pixel gray value to obtain a corrected gray value;

Step 308, taking the difference between the corrected gray value of the target pixel position and the integer value of the average noise gray value to obtain the effective gray value of the target pixel position, and calculating the difference between the original gray value of other pixel positions and the integer value Make a difference to get the effective gray value of other pixel positions;

Step 309 , generating a grayscale image by combining effective grayscale values of all pixel positions.

It should be understood that the sequence numbers of the steps in this embodiment do not mean the order in which the steps are executed, and the execution order of the steps should be determined by their functions and internal logic, rather than constituting the implementation process of the embodiment of the present application. Uniquely limited.

Fig. 4 is an image generation device provided by an embodiment of the present application, the image generation device can be used to implement the image generation method in the foregoing embodiment, the image generation device mainly includes:

The calling module 401 is used to call the target pixel position and the corresponding correction parameters stored in the preset correction file after the image sensor generates the original image file at the actual working time; wherein, the original image file includes the positions of each pixel in the overall pixel array The corresponding original digital image signal value;

A correction module 402, configured to correct the original digital image signal value corresponding to the target pixel position according to the correction parameter, to obtain the corrected digital image signal value;

Calculation module 403, for calculating the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculating the effective digital image signal value of other pixel positions except the target pixel position based on the original digital image signal value;

A generating module 404, configured to combine effective digital image signal values at all pixel positions to generate a target output image.

In some implementations of this embodiment, the image generation device further includes: an acquisition module, configured to acquire the original image file generated by the image sensor in dark field conditions at the time of the test; correspondingly, the calculation module is also configured to The original digital image signal value in the image file calculates the average noise digital image signal value associated with the dark current; the generation module is also used to generate a correction file according to the average noise digital image signal value.

In some implementations of this embodiment, when the generation module executes the above-mentioned function of generating the correction file according to the average noise digital image signal value, it is specifically used to: obtain the fractional value of the average noise digital image signal value, and obtain the overall pixel array The total number of pixels; generate a correction file based on the fractional value and the total number of pixels.

In some implementations of this embodiment, when the generation module executes the above-mentioned function of generating the correction file based on the decimal part value and the total pixel quantity, it is specifically used to: input the decimal part value and the total pixel quantity into the preset index calculation formula, Calculate the number of pixels to be corrected and the correction parameters; based on the correction parameters and the target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected, a correction file is generated. The calculation formula of this indicator is expressed as:

a*b=C(m*n),

C*n=1;

Among them, a represents the value of the decimal part, b represents the total number of pixels, C represents a known constant, m represents the number of pixels to be corrected, n represents the correction parameter and its value is a negative value.

In some implementations of this embodiment, the calculation module calculates the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculates the value of other pixels except the target pixel position based on the original digital image signal value. When the function of the effective digital image signal value of the position is used, it is specifically used to: calculate the difference between the corrected digital image signal value and the integer value of the average noise digital image signal value, obtain the effective digital image signal value of the target pixel position, and calculate The difference between the original digital image signal value of other pixel positions except the target pixel position and the value of the integer part is obtained to obtain the effective digital image signal value of other pixel positions.

In some implementations of this embodiment, the image generation device further includes: a determining module, configured to determine corresponding known constants according to different scene dynamic levels. Correspondingly, when the generation module executes the above-mentioned function of generating the correction file based on the correction parameters and the target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected, it is specifically used to: for each scene dynamic level, based on the correction parameters And the target pixel position corresponding to the number of pixels to be corrected is selected from the overall pixel array to generate a corresponding correction file. The calling module is specifically used for: calling the corresponding correction file according to the actual scene dynamic level, and obtaining the target pixel position and the corresponding correction parameters stored in the correction file.

In some implementations of this embodiment, the determining module is further configured to: correspondingly determine the array region of interest in the overall pixel array according to the dynamic level of the scene. The image generating device further includes: In addition, the image generating device further includes a selecting module, configured to select target pixel positions corresponding to the number of pixels to be corrected from the array area of interest.

It should be noted that the image generation methods in the foregoing embodiments can all be implemented based on the image generation device provided in this embodiment, and those of ordinary skill in the art can clearly understand that for the convenience and simplicity of description, the For the specific working process of the described image generating device, reference may be made to the corresponding process in the foregoing method embodiments, and details are not repeated here.

Fig. 5 is an image sensor provided by an embodiment of the present application, the image sensor can be used to implement the image generation method in the foregoing embodiment, mainly including:

A memory 501, a processor 502, and a computer program 503 stored in the memory 501 and operable on the processor 502. The memory 501 and the processor 502 are connected through communication. When the processor 502 executes the computer program 503, the methods in the foregoing embodiments are implemented. Wherein, the number of processors may be one or more.

The memory 501 can be a high-speed random access memory (RAM, Random Access Memory) memory, or a non-volatile memory (non-volatile memory), such as a disk memory. The memory 501 is used to store executable program codes, and the processor 502 is coupled to the memory 501 .

Further, the embodiment of the present application also provides a computer-readable storage medium, which can be set in the image sensor in the above-mentioned embodiment, and the computer-readable storage medium can be the Examples of memory.

A computer program is stored on the computer-readable storage medium, and when the program is executed by a processor, the image generation method in the foregoing embodiments is realized. Further, the computer storage medium can also be various media that can store program codes such as U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), RAM, magnetic disk or optical disk.

It should also be noted that the devices and methods disclosed in the several embodiments provided in this application may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or modules may be in electrical, mechanical or other forms.

A module described as a separate component may or may not be physically separated, and a component shown as a module may or may not be a physical module, that is, it may be located in one place, or may also be distributed to multiple network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present application may be integrated into one processing module, each module may exist separately physically, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules.

If the integrated modules are realized in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of software products, and the computer software products are stored in a readable memory The medium includes several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods in the various embodiments of the present application. The above-mentioned readable storage medium includes: various media capable of storing program codes such as U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk.

It should be noted that, for the sake of simplicity of description, the aforementioned method embodiments are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

The above is the description of the image generation method, device, image sensor and storage medium provided by this application. For those skilled in the art, according to the idea of the embodiment of this application, there will be changes in the specific implementation and application scope. In summary, the contents of this specification should not be construed as limiting the application.

Claims (10)

1. An image generation method, characterized in that, comprising: After the image sensor generates the original image file at the actual working moment, call the target pixel position and the corresponding correction parameters stored in the preset correction file; wherein, the original image file includes the corresponding original number of each pixel position in the overall pixel array Image signal value; Correcting the original digital image signal value corresponding to the target pixel position according to the correction parameter to obtain a corrected digital image signal value; calculating an effective digital image signal value at the target pixel position based on the corrected digital image signal value, and calculating the effective digital image at other pixel positions other than the target pixel position based on the original digital image signal value signal value; A target output image is generated by combining said effective digital image signal values at all said pixel locations. 2. The image generation method according to claim 1, wherein before the step of calling the stored target pixel position and the corresponding correction parameters in the preset correction file, further comprising: Obtain the original image file generated by the image sensor in the dark field condition during the test operation; calculating an average noise digital image signal value associated with dark current based on the raw digital image signal values in the raw image file; The correction file is generated according to the average noise digital image signal value. 3. The image generation method according to claim 2, wherein the step of generating the correction file according to the average noise digital image signal value comprises: obtaining the value of the fractional part of the average noise digital image signal value, and obtaining the total number of pixels of the overall pixel array; The correction file is generated based on the fractional part value and the total pixel quantity. 4. The image generation method according to claim 3, wherein the step of generating the correction file based on the fractional value and the total number of pixels comprises: Input the value of the fractional part and the total number of pixels into the preset index calculation formula to calculate the number of pixels to be corrected and the correction parameters; the index calculation formula is expressed as: a*b=C(m*n), C*n=1; Wherein, a represents the value of the fractional part, b represents the total number of pixels, C represents a known constant, m represents the number of pixels to be corrected, n represents the correction parameter and its value is a negative value; The correction file is generated based on the correction parameters and target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected. 5. The image generating method according to claim 3, wherein the calculating the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculating the effective digital image signal value based on the original digital image signal value The step of calculating the effective digital image signal values of other pixel positions except the target pixel position includes: calculating the difference between the corrected digital image signal value and the value of the integer part of the average noise digital image signal value to obtain an effective digital image signal value at the target pixel position, and calculating a value other than the target pixel position The difference between the original digital image signal value of other pixel positions and the value of the integer part is used to obtain the effective digital image signal value of the other pixel positions. 6. The image generation method according to claim 4, characterized in that, before the step of calculating the number of pixels to be corrected and the correction parameters, the number of the fractional part and the total number of pixels are input into a preset index calculation formula ,Also includes: Determining the corresponding known constants according to different scene dynamic levels respectively; The step of generating the correction file based on the correction parameters and the target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected includes: For each scene dynamic level, based on the correction parameters and the target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected, the corresponding correction file is generated; The step of calling the target pixel position and the corresponding correction parameters stored in the preset correction file includes: The corresponding correction file is invoked according to the actual scene dynamic level, and the target pixel position and corresponding correction parameters stored in the correction file are obtained. 7. The image generation method according to claim 6, characterized in that, based on the correction parameters and the target pixel positions selected from the overall pixel array corresponding to the number of pixels to be corrected, the corresponding Before the step of correcting the file, it also includes: Correspondingly determining an array area of interest in the overall pixel array according to the scene dynamic level; The target pixel positions corresponding to the number of pixels to be corrected are selected from the array region of interest. 8. An image generating device, characterized in that, comprising: The calling module is used to call the target pixel position and the corresponding correction parameters stored in the preset correction file after the image sensor generates the original image file at the actual working moment; wherein, the original image file includes each pixel in the overall pixel array The original digital image signal value corresponding to the position; A correction module, configured to correct the original digital image signal value corresponding to the target pixel position according to the correction parameter, to obtain a corrected digital image signal value; A calculation module, configured to calculate the effective digital image signal value of the target pixel position based on the corrected digital image signal value, and calculate the effective digital image signal value of other pixel positions except the target pixel position based on the original digital image signal value the effective digital image signal value; A generating module, configured to combine the effective digital image signal values of all the pixel positions to generate a target output image. 9. An image sensor, characterized in that it includes a memory and a processor, wherein: said processor is operable to execute a computer program stored on said memory; When the processor executes the computer program, the steps in the image generating method according to any one of claims 1 to 7 are realized. 10. A computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed by a processor, the steps in the image generation method according to any one of claims 1 to 7 are realized .

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