Optimization of Wavelet Threshold Denoising Based on Edge Detection

被引：1

作者：

Li, Ning ^{[1
]}

Zhang, Jinyuan ^{[1
]}

Deng, Zhongliang ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, 10 Xitucheng Rd, Beijing, Peoples R China

来源：

NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017) | 2017年 / 10420卷

关键词：

edge detection; wavelet transform; threshold function; image denoising;

D O I：

10.1117/12.2282081

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Traditional wavelet threshold denoising algorithm is insufficient for the preservation of edge detail information and the separation of noise. In this paper, proposed the optimization of wavelet threshold denoising method based on edge detection, which to process the edge image obtained by the wavelet edge detection algorithm, and fuse the smoothing image produced by the improved threshold function model. Experimental results show that compared with the traditional wavelet threshold denoising method, this algorithm effectively preserves the edge information of the image and remove the noise, also improved signal to noise ratio obviously.

引用

页数：5

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