Spatially variable blurred image restoration based on TV and wavelet regularization

A technology of blurring images and spatial changes, applied in the field of image processing, can solve problems such as edge blurring, and achieve the effect of step effect suppression and rapid convergence

Active Publication Date: 2019-02-19
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

By adding the wavelet regularization term, the good reconstruction ability of wavelet is used to supplement the loss of detail information caused by the TV regularization algorithm in the restoration process, and the TV regularization term can solve the edge blurring problem caused by wavelet decomposition

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  • Spatially variable blurred image restoration based on TV and wavelet regularization
  • Spatially variable blurred image restoration based on TV and wavelet regularization
  • Spatially variable blurred image restoration based on TV and wavelet regularization

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0025] figure 1 It is a flowchart of the restoration method for spatially varying blurred images. Such as figure 1 As shown, the spatially variable blurred image restoration method includes the following steps:

[0026] S101, input a blurred image g, and grayscale the blurred image g;

[0027] S102, setting related parameters.

[0028] Before adopting the ADMM algorithm to numerically iteratively solve the new defuzzification model, set the relevant parameters, specifically including the decomposition base k, the fidelity item parameter μ, the regularization item par...

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Abstract

The invention discloses a method for restoring a spatially varying blurred image based on TV and wavelet regularization, which comprises the following steps: (1) grayscaling the blurred image; (2) constructing a fuzzy kernel decomposition model according to the grayscale fuzzy image, and decomposing the fuzzy kernel into a basic filter matrix and a coefficient matrix by using a singular value decomposition method in the fuzzy kernel decomposition model; (3) applying the fuzzy kernel decomposition model, and combining the TV regularity term and the wavelet regularity term to construct a defuzzification model; 4) transforming defuzzification model into the augment Lagrangian form, the augmented Lagrangian form defuzzification model is improved to obtain a new defuzzification model; (5) solving The new deblurring model by ADMM algorithm, and the restored image is obtained. This method solves the problem of loss of detail information in the restoration process of TV regularization algorithm.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for restoring a space-varying blurred image based on TV and wavelet regularization. Background technique [0002] Image deblurring aims to process some noise-contaminated images through algorithms to reduce the impact of noise on the original useful information, and to solve clear images as much as possible according to degraded images. Specifically, it can be divided into three categories, namely, image Enhancement, image restoration and super-resolution reconstruction. [0003] Image restoration is aimed at obtaining a certain degree of improvement in visual quality, and performs estimation calculations based on certain specific image degradation models to restore degraded images. [0004] For many imaging devices, although their image degradation models can be considered linear, the image degradation models are not space-invariant (Space-invarian...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/003
Inventor 金燕万宇
Owner ZHEJIANG UNIV OF TECH
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