Bayer image processing method and device, electronic equipment and storage medium

Abstract

The invention provides a Bayer image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-processed image; interpolating a specified pixel point in the to-be-processed image to obtain a green pixel value of the specified pixel point; filtering the green pixel values of all the pixel points; and on the basis of the filtered green pixel value and the pixel value of the specified color of the specified pixel point, performing interpolation on the pixel values of the remaining colors of each pixel point to obtain the final red pixel value, green pixel value and blue pixel value of each pixel point. According to the method, interpolation can be effectively carried out on the Bayer image, noise of a flat area is removed, image edge information is reserved, and real color information of the image is restored to the maximum extent. The noise reduction method is not limited to be used after G pixel interpolation is completed, and can also be generally used for Bayer image noise reduction.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a Bayer image processing method, device, electronic equipment and storage medium. Background technique [0002] Currently commonly used image sensors, CCD or CMOS, can only sense light intensity and cannot distinguish colors. In practical applications, a color filter array (CFA) is usually placed in front of the photoreceptor, and each pixel only records one color component red pixel (green pixel or blue pixel). Therefore, the remaining two color components of the pixel need to be interpolated to obtain the real color of the image. This kind of CFA that only contains red pixels (green pixels or blue pixels) is also called BayerCFA, the smallest unit of which is 2x2, including one red pixel, one blue pixel, and two green pixels. [0003] The CFA interpolation algorithm is generally divided into two steps. The first is to use the surrounding pixel information to...

AI Technical Summary

Problems solved by technology

Generally, there is a certain amount of noise in the image to be processed by Bayer, and noise will also be introduced in the first step of the green pixel interpolation process. In the process of calculating the other two pixels using the interpolation result of the green pixel, error transfer will occur, affecting the final red color. Interpolation result of pixel and blue pixel

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