Adaptive smooth filtering method

Abstract

The invention discloses an adaptive smooth filtering method. The method comprises the steps of acquiring a pixel point of an image to be denoised; and judging whether the pixel point is an obvious noise point or not; if the pixel point is an obvious noise point, acquiring a similar point set of the obvious noise point, and then estimating a pixel value of the obvious noise point; and adjusting a pixel value of the pixel point if the pixel point is not an obvious noise point. The adaptive smooth filtering method disclosed by the invention starts from an angle that self-similarity exists in the image texture, a filtering operation is carried out on an irregular non-singular point, and the image can be enabled to carry out region smoothing under the condition that the loss in edge and minutiae is reduced as much as possible.

Description

technical field [0001] The invention relates to the technical field of image processing, more specifically, an adaptive smoothing filtering method. Background technique [0002] Image signals are affected by noise during generation, transmission, and processing. Common noises include Gaussian noise generated inside resistive components, salt and pepper noise on black images caused by image cutting, and Poisson noise generated during photoelectric conversion. Wait. [0003] Traditional image denoising or filtering methods can be divided into three types: [0004] a. The filtering method based on the spatial domain, in order to achieve the purpose of suppressing noise or eliminating noise, the image is processed through a smooth template, such as median filtering, mean filtering, Wiener filtering, etc. [0005] The median filtering algorithm has the following disadvantages: first, the denoising effect is limited by the size of the filtering window; second, all pixels are tre...

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Problems solved by technology

[0014] In order to solve the defects of poor denoising effect of the existing filtering technology, the present invention provides an adaptive smoothing filtering method, which can perform regional smoothing filtering under the condition of small loss of edge points and detail points of the image

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