Wavelet-based Image Denoising with Optimal Filter

被引：0

作者：

Lee, Yong-Hwan ^{[1
]}

Rhee, Sang-Burm ^{[1
]}

机构：

[1] Dankook Univ, Dept Elect & Comp Engn, Seoul, South Korea

来源：

JOURNAL OF INFORMATION PROCESSING SYSTEMS | 2005年 / 1卷 / 01期

关键词：

Image Denoising; Noise Reduction Wavelet;

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：

Image denoising is basic work for image processing, analysis and computer vision. This paper proposes a novel algorithm based on wavelet threshold for image denoising, which is combined with the linear CLS (Constrained Least Squares) filtering and thresholding methods in the transform domain. We demonstrated through simulations with images contaminated by white Gaussian noise that our scheme exhibits better performance in both PSNR (Peak Signal-to-Noise Ratio) and visual effect.

引用

页码：32 / 35

页数：4

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