Alignment-based image denoising method and system

Abstract

The invention discloses an alignment-based image denoising method and system. The method includes the following steps that: a plurality of images to be processed which are continuous in the aspect of time are obtained, and the first foremost image in the aspect of time is adopted as a template image, and the subsequent images to be processed are adopted as operation images; alignment processing is performed on the operation images and the template image, so that alignment images can be obtained; respective color values of red, green and blue channels of corresponding pixels of the alignment images are calculated; and finally, comparative calculation and denoising processing are performed on the red, green and blue channels of each pixel of the template image and the red, green and blue channels of the corresponding pixels of the alignment images, so that de-noised images can be obtained. The algorithm is simple and convenient to use, and has high time and space efficiency, and can be better applied to production and popularization, and is very suitable for industrial manufacturing.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image alignment-based image denoising method and a system applying the method. Background technique [0002] Noise is an important cause of image interference, common denoising methods include: [0003] 1. Mean value filter: The mean value filter using the neighborhood averaging method is very suitable for removing the granular noise in the image obtained by scanning; the field averaging method effectively suppresses the noise, but also causes blurring due to averaging; [0004] 2. Adaptive Wiener filter: It can adjust the output of the filter according to the local variance of the image. The larger the local variance, the stronger the smoothing effect of the filter. Although this method compares the edge of the reserved image with other high-frequency parts Useful, but the amount of calculation is large; [0005] 3. Median filter: It is a commonly used non-linear s...

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Problems solved by technology

[0006] Existing denoising methods also include morphological noise filter, wavelet denoising, etc., but most of these methods use a single photo to remove noise from the image, and often cannot restore the details of the image well, or The amount of calculation is large, and the algorithm is too complicated to carry out industrial production and promotion well

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