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Hierarchical random value shock noise removal method and system

A technology of shock noise and random value, applied in the field of image processing, can solve problems such as missed detection, and achieve the effect of good image denoising effect

Active Publication Date: 2017-12-19
SOUTHWEAT UNIV OF SCI & TECH
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Problems solved by technology

[0006] Aiming at the above-mentioned self-adaptive central weighted median filter, when the noise pollution rate is greater than 30%, there is a serious technical problem of missed detection, the present invention proposes a layer-based random value impact noise removal method and system

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  • Hierarchical random value shock noise removal method and system
  • Hierarchical random value shock noise removal method and system

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Embodiment Construction

[0020] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings. For ease of description, the following embodiments are described based on the adaptive center-weighted median filter technology, but the method of the present invention is not limited to the adaptive center-weighted median filter technology. As long as the noise judgment threshold is set from high to low in a hierarchical manner, and the intermediate image is obtained by judging the noise point for processing, and then performing noise judgment on the intermediate image layer by layer, all belong to the scope of protection of the present invention.

[0021] u(i,j) is the gray value of an ideal digital image u of size M′N at the pixel point (i,j), where (i,j)∈Ω≡{1,...,M }×{1,...,N}, Ω is the spatial range of u. If u is an 8-bit grayscale image, the grayscale dynamic range of pixel values ​​in the image is u(i,j)∈[s min ,s max ]=[...

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Abstract

The invention discloses a layer-based random value impulsive de-noising method which specifically comprises the following steps: arranging multiple layers of noise value judging thresholds step by step from high to low; screening the noise points in a de-noising image by use of the highest noise value, and performing median filtering of the noise points to obtain the first middle de-noised image; and screening the noise points in the first middle de-noised image by use of the second-highest noise value, and de-noising with the same method to obtain the second middle de-noised image, and so on to finish the noise point screening and de-noising layer by layer until the noise judgment and de-noising of all layers are finished to obtain the final de-noised image. The method disclosed by the invention can effectively detect the random value impulsive noise in an image in the case of low noise ratio or high noise ratio, and realizes relatively low pixel numbers of leak detection and false detection while a relatively good image de-noising effect is obtained.

Description

technical field [0001] The invention relates to the technical field of image processing, and discloses a layer-based random value impact noise removal method and system. Background technique [0002] Digital images are easily polluted by noise during the process of acquisition, storage, and transmission, which makes users unable to obtain correct key information from the polluted images. On the other hand, many image post-processing (such as edge detection, object recognition, feature Extraction, etc.) are difficult to obtain satisfactory results. Therefore, how to effectively remove the noise in the contaminated image while maintaining the key details in the true image has always been a research hotspot in the field of image processing. Impulse noise, as a common type of noise, has attracted much attention from researchers. Its pollution to the image is usually caused by the influence of some bad elements on the sensor or by the interference of noise that has nothing to do...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 周颖玥臧红彬
Owner SOUTHWEAT UNIV OF SCI & TECH
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