Application of multi-resolution analysis in sonar image denoising

作     者：Shang Zhengguo Zhao Chunhui Wan Jian 

作者机构：Coll. of Information & Communication Engineering Harbin Engineering Univ. Harbin 150001 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2008年第19卷第6期

页      面：1082-1089页

核心收录：

学科分类：080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：This project was supported by the National Natural Science Foundation of China (60672034) the Research Fund for the Doctoral Program of Higher Education(20060217021) the Natural Science Foundation of Heilongjiang Province of China (ZJG0606-01) 

主　　题：multi-resolution analysis wavelet transform ridgelet transform cycle sample adaptive denoisingenergy delamination 

摘      要：Sonar images have complex background, low contrast, and deteriorative edges; these characteristics make it difficult for researchers to dispose the sonar objects. The multi-resolution analysis represents the signals in different scales efficiently, which is widely used in image processing. Wavelets are successful in disposing point discontinuities in one dimension, but not in two dimensions. The finite Ridgelet transform （FRIT） deals efficiently with the singularity in high dimension. It presents three improved denoising approaches, which are based on FRIT and used in the sonar image disposal technique. By experiment and comparison with traditional methods, these approaches not only suppress the artifacts, but also obtain good effect in edge keeping and SNR of the sonar image denoising.