An adaptive weighted threshold image restoration method based on wavelet domain

被引：0

作者：

Chen L. ^{[1
]}

Guo H. ^{[1
]}

机构：

[1] Laboratory of Intelligent Information Processing, Suzhou University, Suzhou , Anhui

来源：

International Journal of Circuits, Systems and Signal Processing | 2021年 / 15卷

关键词：

Image Restoration; Threshold Function; Wavelet Analysis;

D O I：

10.46300/9106.2021.15.34

中图分类号：

学科分类号：

摘要：

Due to the limitation of imaging equipment, the influence of transmission medium and external environment, image quality degradation will inevitably occur in the process of generation, transmission and reception. These degradation not only worsens the visual effect of the image, but also makes the image lose a lot of useful information, which seriously affects image recognition, target detection and other high-level visual analysis. Wavelet analysis can extract useful information from image signal and meanwhile its profound wavelet basis can get adapted to signals of different properties. To better apply wavelet transform into image restoration domain, this paper according to the characteristics of wavelet transform, analyzes the method to select threshold function and the relationship within and between layers of wavelet coefficients, gets a proper threshold weight coefficient and propose an adaptive weighted threshold image restoration method based on wavelet domain, which makes smaller deviation and variance between the de-noised image and the original signal. The experiment result shows that the algorithm of this paper can obtain good subjective and objective image quality and effectively retain most detailed information of the image. © 2021, North Atlantic University Union NAUN. All rights reserved.

引用

页码：297 / 305

页数：8

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