PROBLEM TO BE SOLVED: To provide a technique relating to measuring camera response to a change in a lighting condition.SOLUTION: A method to measure a brightness response of a camera includes: obtaining a plurality of brightness measurement values; and determining a captured brightness of a captured image for one or more of the plurality of brightness measurement values. Obtaining each of the plurality of brightness measurement values includes: presenting to the camera at least one test sample having known brightness; capturing an image of the at least one test sample via the camera; and presenting to the camera at least one compensation sample having compensating brightness selected based on the known brightness of the at least one test sample. The at least one test sample and the at least one compensation sample are selectable and presentable in combination such that an average exposure interpreted by the camera is substantially the same for each of the plurality of brightness measurement values.

Systems and methods for measuring brightness response of a camera operating in automatic exposure mode

The invention discloses a Bayer format image interpolation method based on gradients and a display device based on an FPGA. Aiming at color recovery of red and blue pixels, improvement is carried out on bilinear interpolation; averaged interpolation processing is no longer simply carried out to pixels; horizontal and vertical gradients and left and right diagonal gradients of the pixels are calculated according to Sobel operators; horizontal and vertical weighting coefficients and left and right diagonal weighting coefficients are determined according to the ratio relation of the horizontal and vertical gradients and the ratio relation of the left and right diagonal gradients; therefore, the interpolation results of the red and blue pixels are obtained. The display device in the invention takes the FPGA as a core platform; the parallel processing and modular design advantages of the FPGA are utilized fully; the realization time of module functions such as graphic image generation, collection of video image data, color interpolation processing and graph overlapping and displaying is reduced; and the display demands of the airborne display device for high resolution and high rate graphic images are satisfied.

Bayer format image interpolation method based on gradients and display device based on FPGA

The invention discloses an image smudge judgment method of a camera module. The method comprises the following steps: (1) dividing overall image data into regions A and B; (2) dividing the regions A and B into four data blocks Gr, R, B and Gb according to the Bayer mode, evaluating a mean value in a manner of one-to-one correspondence according to respective positions, and generating a new data block (block); (3) by taking the data block (block) as original data, replacing mutation points with the mean value of peripheral data; (4) carrying out median value calculation by taking N*N data points as a partition element, then replacing the partition element with a median value, and replacing the original data; (5) judging defective pixels and efficient points, and forming a new data result chart; (6) finding out continuous defective pixels and single defective pixels, and recording related data information; (7) judging existence of smudge; (8) repeatedly retrieving and judging the smudge by changing the size of the partition element. According to the image smudge judgment method of the camera module, variation caused by color temperature can be effectively reduced, and bad images of which the variation is over 2% can be detected.

Image smudge judgment method of camera module

A method of binning pixels in an image sensor including: dividing a pixel array into a plurality of binning areas, wherein each binning area includes (2n)*(2n) pixels, wherein n is an integer equal to or greater than two; and generating binning pixel data in each of the binning areas, wherein the locations of the binning pixel data of each binning area are evenly distributed within the binning area.

Method of binning pixels in an image sensor and an image sensor for performing the same

The present invention discloses an image data processing method and a device. The method comprises a step of searching a target pixel unit in original image data; a step of superimposing the brightness information of the sub pixel corresponding to a target pixel in the target pixel unit, and a step of outputting the image data which is subjected to brightness information superimposition according to the pixel information of the target pixel. According to the method and the device, through superimposing the brightness information of the pixel corresponding to a target pixel of the original image data to improve the brightness of the whole image, then the image information output is carried out through the information of the target pixel, thus the reduction of the quality of image output is avoided, and thus the performance of imaging under low-light level is improved.

Image data processing method and device

A method for processing an image in Bayer format is provided. The method may include: performing a binning process in a horizontal and/or vertical direction on an image which is to be processed, so that an arrangement mode of pixels in a processed image after binning is the same with that in the image to be processed, wherein the binning process may include: determining a position of an output pixel; selecting, from the image to be processed, a plurality of pixels which have the same color component with that of the output pixel, and calculating a weighted average of the plurality of pixels, so as to obtain a pixel value of the output pixel, wherein the plurality of pixels are selected from particular positions, so that the weighted average of the plurality of pixels can be calculated. According to the present disclosure, quality of image processing can be guaranteed.

Image processing method and device based on bayer format

The invention discloses a method to measure a response curve of an image sensor and a device. The method includes carrying out exposure shooting at least once on a standard gray scale card to obtain a shooting image; calculating relative exposure of each gray scale image block, wherein the relative exposure is product of exposure time used in exposure shooting and the gray level of each gray scale image block; and arranging a reference point based on a pixel value of a pixel in each gray scale image block and the relative exposure in image shooting, and carrying out calculus of interpolation on the reference point to obtain the response curve of the image sensor. According to the method, by means of the reference point, the calculus of interpolation is carried out to avoid solution of an equation set, and calculated amount is reduced. Due to uniformity of the pixel values in the gray scale image blocks, choice for pixels is easy, alignment and calibration for multiple images with different exposure are needless, and utilization of a calibration algorithm is avoided.

Method to measure response curve of image sensor and device

Method and device for processing image in Bayer format

The present disclosure discloses a method and an apparatus for measuring response curve of an image sensor The method comprises: taking at least one photograph of a Grey Scale card with an image sensor to be measured, wherein the photograph comprises a plurality of greyscale image blocks; calculating relative exposure values for each greyscale image block respectively corresponding to the greyscale blocks of the Grey Scale card; plotting a plurality of reference points based on pixel values of pixel points within each greyscale image block and the relative exposure values, and executing an interpolation calculation based on the reference points to obtain a response curve of the image sensor

Method and apparatus for measuring response curve of an image sensor

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Image processing method and device based on bayer format

Method to measure response curve of image sensor and device

Method and device for processing image in Bayer format

Method and apparatus for measuring response curve of an image sensor