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Separation Bregman iterative optimization based image restoration method and device

A technology of iterative optimization and repair method, applied in the field of image processing, can solve problems such as slow convergence speed, high power consumption, and poor image repair effect

Active Publication Date: 2018-06-15
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0013] The present invention provides an image restoration method and device based on separated Bregman iterative optimization, which is used to solve the technical problems of traditional image restoration techniques such as high power consumption, slow convergence speed, and poor image restoration effect

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Embodiment Construction

[0080] The invention provides an image restoration method and device based on separated Bregman iterative optimization, which is used to solve the technical problems of high power consumption, slow convergence speed and poor image restoration effect in traditional image restoration techniques.

[0081] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0082] see figure 1 , an embodiment of the...

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Abstract

The invention provides a separation Bregman iterative optimization based image restoration method and device. The method comprises: establishing an objective function of an image restoration model based on block likelihood logarithm expectation, and converting the objective function into a finite form by introducing an intermediate auxiliary variable; calling the separation Bregman iterative optimization algorithm to divide the finite-form objective function into iterative calculation formulas about zi and X, and calculating the zi and X when the maximum number of iterations is obtained; and outputting the X as a restored image when the maximum number of iterations is reached. The invention can perform division and iterative calculation on the objective function by introducing the intermediate auxiliary variable and using the separation Bregman iterative optimization algorithm, and can improve the convergence speed of image restoration and effectively improve the image restoration effect.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image restoration method and device based on separated Bregman iterative optimization. Background technique [0002] Image restoration has always been a research hotspot in the field of digital image processing. During the transmission process, the image will be damaged due to various problems, resulting in image degradation. Image restoration is to repair the damaged area according to the observed image information, so that the reconstructed image can achieve a visual effect close to the original image. [0003] Among them, learning image prior distribution is widely used in the field of image restoration, such as image denoising, image restoration, image deblurring and so on. In the field of image restoration, image prior models can be divided into the following three models: image local smoothing model, image non-local self-similar model, and image sparse represe...

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Application Information

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IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/10G06T5/77
Inventor 刘坤蔡述庭翁少佳陈平李卫军
Owner GUANGDONG UNIV OF TECH
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