表面波和Retinex结合的水声图像增强方法

doi:10.3969/j.issn.0255-8297.2012.05.011

Journal of Applied Sciences ›› 2012, Vol. 30 ›› Issue (5): 505-510.doi: 10.3969/j.issn.0255-8297.2012.05.011

• Signal and Information Processing • Previous Articles Next Articles

Image Enhancement for Sonar Images Based on Surfacelet and Multi-scale Retinex

FU Qiang1, LI Yi-bing1, TANG Chun-rui2

1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2. Modern Manufacture Engineering Center, Heilongjiang Institute of Science and Technology, Harbin 150022, China

Received:2011-03-26 Revised:2012-03-21 Online:2012-09-24 Published:2012-09-25

Abstract

Abstract:

Due to complicated underwater channels and various interferences, sonar image resolution is low,leading to difficulties in identifying edge details. Many enhancement algorithms can improve image resolution without de-noising. To this end, the paper proposes an improved enhancement algorithm, which first performs de-noising using surfacelet transform with adaptive threshold, and then carries out multi-scale retinex enhancement.
Simulation results show that the proposed algorithm has advantages in preservation of edge details color information. It helps subsequent image processing.

Key words: image enhancement, sonar image, surfacelet transform, Retinex enhancement algorithm

CLC Number:

TN911.73

FU Qiang1, LI Yi-bing1, TANG Chun-rui2. Image Enhancement for Sonar Images Based on Surfacelet and Multi-scale Retinex[J]. Journal of Applied Sciences, 2012, 30(5): 505-510.

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Image Enhancement for Sonar Images Based on Surfacelet and Multi-scale Retinex

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