Underwater Image De-noising Algorithm Based on Nonsubsampled Contourlet Transform and Total Variation

摘要：

According to the characteristics of underwater image,this paper proposed a underwater image denoising algorithm based on Nonsubsampled Contourlet Transform (NSCT) and Adaptive Total Variation (ATV) de-noising model. In our method ,the underwater image is decomposed into low frequency part and high frequency part. ATV de-noising model is applied to high frequency part. Experimental results show that the method can not only eliminate the noise ,but also retain edge and texture of the target very well.

关键词： Underwater image NSCT ATV Image de-noising

作者: Jia Dongxiao Ge Yurong

作者单位: College of Information Science and Engineering,Ocean University of China,Qingdao Shandong 266100,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2326-2330

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）