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Color Image Denoising Method Based on Minimal Norm of Quaternion Weighted Kernel

A color image and quaternion technology, applied in the field of image processing, can solve problems such as difficult to achieve denoising effect, ignoring interrelationships, etc.

Active Publication Date: 2019-09-24
WUYI UNIV
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Problems solved by technology

However, the traditional color image denoising method usually regards the color image as a combination of three independent grayscale images, and generally processes the three grayscale images separately, ignoring the interconnection between channels , it is difficult to achieve a satisfactory denoising effect

Method used

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  • Color Image Denoising Method Based on Minimal Norm of Quaternion Weighted Kernel
  • Color Image Denoising Method Based on Minimal Norm of Quaternion Weighted Kernel
  • Color Image Denoising Method Based on Minimal Norm of Quaternion Weighted Kernel

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Embodiment Construction

[0053] refer to figure 1 , the color image denoising method based on the minimum quaternion weighted kernel norm of the present invention comprises the following steps:

[0054] A. Perform image acquisition on a color image with noise to obtain an image I with a pixel size of M×N, where both M and N are integers greater than zero;

[0055] B. Estimating the noise variance in image I According to noise variance get the noise standard deviation σ n ;C, judgment noise standard deviation σ n size, and according to the noise standard deviation σ n The size of the set different processing parameters, if the noise standard deviation σ n n ≥50, first filter image I with a Gaussian low-pass filter, and then go to step D;

[0056] D. According to the quaternion corresponding to the pixel (r, g, b) of the image I Convert the image I into a representation of a quaternion matrix, and establish a quaternion weighted nuclear norm minimum model for the image I according to the repre...

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Abstract

The invention discloses a color image denoising method based on the minimum quaternion weighted kernel norm, which uses the non-local similarity of the color image to establish a model based on the minimum quaternion kernel norm for the color image, and according to the quaternion The inherent characteristics of the number used to reconstruct the three-dimensional color image, using the iterative reweighting algorithm to solve the quaternion weighted kernel norm minimum model, so that the three color channels that make up the color image are well maintained during the vector reconstruction process The internal connection between, so as to obtain a better denoising effect.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a color image denoising method based on the minimum quaternion weighted kernel norm. Background technique [0002] Since the image will inevitably be affected by the interference of the shooting equipment, transmission medium and various external light and electrical signals during the process of shooting, compression, storage and transmission, image noise will be superimposed on the image. An important part of the processing technology, the formation process of the image with noise can be expressed as: Y=X+N, where X is the clear image, N is the external noise, and Y is the actual observed color image with noise. In recent years, various statistical estimators, spatial domain adaptive filters, and transform domain-based processing methods have been used for image denoising, while dictionary learning-based sparse representation methods, optimal orientation methods, and o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor 余义斌张玉兰岳洪伟王天雷郭凯凤
Owner WUYI UNIV
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