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Self-adapting multi-stage weighted median filtering algorithm applied to digital images

A weighted median and digital image technology, applied in the field of adaptive multi-level weighted median filter algorithm, can solve the problem of loss of details, achieve the effect of good details, retain details, and reduce errors

Active Publication Date: 2013-06-12
CHINA UNIV OF MINING & TECH (BEIJING)
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Problems solved by technology

[0028] The purpose of the present invention is to provide an adaptive multi-level weighted median filter algorithm applied to digital images, in order to solve the problem that the existing median filter algorithm is easy to cause the loss of details and false detection and missed detection of noise detection

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  • Self-adapting multi-stage weighted median filtering algorithm applied to digital images
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Embodiment Construction

[0048] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0049] Such as figure 1 , the method of the present invention comprises two steps, first detects the noise point in the image, then uses the self-adaptive multi-stage median filtering algorithm to process the detected noise point, that is: A. first according to the characteristics of the image noise value, The multi-threshold method is used to detect image noise points, and the detected noise points are marked as 1. The noise detection method is based on the fact that the noise values ​​are basically distributed in the area [0, 29] or [230, 255] and the difference between the noise point values Obvious features, given a specific noise reference value, using multi-threshold method to detect noise points;

[0050] B. For the detected noise points, use a 5×5 filter window, the center point of the window is the noise point to be processed, and use the adaptive multi-leve...

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Abstract

The invention relates to a self-adapting multi-stage weighted median filtering algorithm applied to digital images. According to the method, the noise point in the image is judged according to the characteristics of the noise value, in addition, the noise point is marked, then, a self-adapting multi-stage weighted median filtering method is adopted for carrying out filtering processing on the noise point, and in addition, in the filtering algorithm realization process, the detected noise point and the treated noise point do not take part in the calculation. The self-adapting multi-stage weighted median filtering algorithm has the advantages that the noise detection correctness is high, the similarity of the processed pixel point to the original image signal is high, and the image detail remaining capability is good.

Description

technical field [0001] The invention relates to a digital image filtering algorithm, in particular to an adaptive multi-stage weighted median filtering algorithm applied to digital images. Background technique [0002] At present, the median filtering algorithm mainly includes: conventional median filtering algorithm, extremum median filtering algorithm, weighted median filtering algorithm, adaptive median filtering algorithm and improved median filtering algorithm. The conventional median filtering algorithm is a nonlinear signal processing technology that can effectively suppress noise based on the theory of sorting statistics. The basic principle of the conventional median filtering is to use the value of a point in a digital image or digital sequence in a neighborhood of the point The median value of each point value is replaced, so that the surrounding pixel values ​​​​are close to the true value, thereby eliminating isolated noise points. The extreme value median filt...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 孙继平邱小清
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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