Study on Algorithm of Image Restoration Based on Stochastic Resonance and Wavelet Transforming

被引：4

作者：

Jiang, Yuan ^{[1
]}

Peng, Yue Ping ^{[1
,2
]}

Wang, Jian ^{[1
]}

机构：

[1] Engn Univ Chinese Armed Police Force, Xian 710086, Peoples R China

[2] Xi An Jiao Tong Univ, Xian 710049, Peoples R China

来源：

PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016) | 2016年

关键词：

Bistable Stochastic Resonance; Wavelet Transform; Image Processing; ELECTRONIC NOSE; SYSTEM; NOISE; MODEL;

D O I：

10.1109/IMCCC.2016.137

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Stochastic Resonance(SR) can restore the weak signal in a strong noise background more effectively by using noise. According to this, a new way to process the noised signal in a bad noised environment has been provided. A new way of image processing based on bistable Stochastic Resonance and Wavelet transform has been given. Firstly, the noised image is processed by bistable Stochastic Resonance. Then the output of the SR system is optimized by Wavelet transform. In this paper, the results of the simulation of the new algorithm are evaluated and compared with other algorithms by signal-noise ratio improvement factor. What the comparison shows is that the algorithm given by this paper is more effective in processing the weak signal in a bad-noised environment.

引用

页码：416 / 421

页数：6

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