Color noise removing method and device

Abstract

A color noise removing method and device are disclosed. The method comprises the following steps: a first image is obtained, the first image is image data which is obtained after an image in a sliding window is subjected to self-adaption downsampling processing operation, a pixel point value domain coefficient of the first image is determined according to pixel points of the first image and U and V component values of pixel points to be de-noised, and a pixel point spatial domain coefficient of the first image is determined according to spatial distance between the pixel points of the first image and the pixel points to be de-noised; a weighting coefficient is obtained based on the pixel point value domain coefficient and the pixel point spatial domain coefficient; based on the weighting coefficient, the U and V components of the pixel points to be de-noised are subjected to color noise processing operation. According to the method, via the self-adaption downsampling processing operation, frequency of color noise of the image in the sliding window is improved, the color noise can be removed easily, and therefore computation quantities can be reduced and computational performance can be improved; problems of color aliasing and saturation decline that occur in color noise removing processes can be effectively addressed, effects exerted by brightness information can be reduced, image brightness information vagueness can be prevented, and the color noise removing method and device are low in complexity and easy to realize.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and a device for removing color noise. Background technique [0002] Image denoising is a widely used technology in image processing. The purpose of image denoising is to improve the signal-to-noise ratio of the image and highlight the desired features of the image. [0003] At present, typical image sensors include CCD and CMOS. When collecting images based on image sensors, the images are easily affected by various factors during the process of acquisition and transmission, so that the images collected by image sensors often contain noise. Image. [0004] Because the noise signal and the image signal in the noise-containing image are mixed together, the image has problems such as inconspicuous features and low definition. Therefore, it is usually necessary to perform denoising processing on the image collected by the image sensor to improve the signal-to-noise of the i...

AI Technical Summary

Problems solved by technology

[0008] The problem solved by the present invention is that when removing color noise from an image, it is easy to affect the brightness information of the image, which will cause blurred image brightness information, color aliasing, and a decrease in image saturation, and the problem of high complexity

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