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Image denoising method and device

An image and image block technology, applied in the field of image denoising methods and devices, can solve the problems of low accuracy of image denoising methods and the like

Active Publication Date: 2018-11-06
SHANGRAO NORMAL UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy of current image denoising methods is low

Method used

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  • Image denoising method and device
  • Image denoising method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0061] As an implementation manner, step S250 may include:

[0062] Call the separation Bregman iterative algorithm to solve and calculate the mixed noise removal model Until the preset number of iterations is satisfied, the denoised image is output.

[0063] Further, the preset number of iterations is K, and the call separation Bregman iterative algorithm is used to solve and calculate the mixed noise removal model Until the preset number of iterations is met, output the denoised image, including:

[0064] definition g(α G )=λ||α G || 0 and u = φ G alpha G ;

[0065] Invoking the separation Bregman iterative algorithm, the Transform into the following three formulas to solve respectively: as well as Both μ and λ represent the regularization factor for 0;

[0066] Solving by Split Bregman Iteration (SBI) The optimization problem process is as follows:

[0067] Given α G ,against Calculate the partial derivative of u and calculate the estimated value of ...

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Abstract

Embodiments of the invention provide an image denoising method and device, and relate to the technical field of image processing. The method is applied to an electronic device. The method comprises the steps of acquiring a to-be-denoised image comprising mixed noises, and performing filtering processing on the to-be-denoised image to obtain an initial image; based on the initial image, constructing a plurality of structure groups and performing dictionary construction on each structure group in the plurality of the structure groups, thereby obtaining a learning dictionary corresponding to eachstructure group; building a mixed noise removal model based on the learning dictionary corresponding to each structure group; and performing cyclic iterative calculation on the mixed noise removal model until a preset number of iterations is satisfied, outputting the denoised image. The method is more accurate and the calculation efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image denoising method and device. Background technique [0002] The image is easily affected by factors such as sensor, camera shake, and transmission channel during transmission, resulting in the image being easily polluted by various noises at the same time, such as mixed Gaussian noise and impulse noise, which will cause the visual quality of the image to degrade. In order to remove the mixed noise in the image, prior knowledge of the image and background knowledge are needed, and the acquisition of prior knowledge depends on the modeling of the image. The accuracy of current image denoising methods is low. Contents of the invention [0003] The purpose of the present invention is to provide an image denoising method and device to improve the above problems. In order to achieve the above object, the technical scheme that the present invention takes is ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor 刘金华任桂平赖鑫生蒋昌猛李永明吴莲发
Owner SHANGRAO NORMAL UNIV
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