Adaptive Algorithm for Image Denoising Based on Lifting Wavelet Transform

被引：0

作者：

Yang Qiang ^{[1
]}

机构：

[1] Yibin Univ, Sch Comp & Informat Engn, Yibin, Sichuan Prov, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON COMPUTER, ELECTRICAL, AND SYSTEMS SCIENCES, AND ENGINEERING (CESSE 2011) | 2011年

关键词：

Lifting Scheme; Wavelet Transform; AdaPtive-threshold Algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Noise reduction is one of the most important parts of image processing. Wavelet transform has the good characteristic of time-frequency,and has widely applied in image denoising.How to select the threshold is the key to wavelet image denoising.The paper put forward the adaptive algrithm for image denoising based on lifting wavelet transform. Fisrt, The image with noise was decomposed by lifting wavelet transform, then cleaned the image noise by adaptive-threshold algorithm. The algrithm full considemate the transform coefficients relation of lifting scheme. Experiments show that the algorithm can reduce Gaussian noise effectively and improve the detail effect of picture and raise the PSNR value of picture.

引用

页码：302 / 305

页数：4