Underwater Image Denoising via AMP with Renyi Entropy

被引：0
|
作者：
Lu, Jihua [1 ]
Yan, Lei [2 ]
Wang, Huan [1 ]
Feng, Lihui [1 ]
Li, Xinbin [2 ]
机构：
[1] Beijing Inst Technol, Beijing, Peoples R China
[2] Yanshan Univ, Qinhuangdao, Peoples R China
来源：
WUWNET'19: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON UNDERWATER NETWORKS & SYSTEMS | 2019年
关键词：
Underwater image denoising; shot noise; approximate message passing; Renyi Entropy; wavelet transform;
D O I：
10.1145/3366486.3366531
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Approximate message passing (AMP) in wavelet domain has been widely used in image denoising. However, the AMP-based denoising method is not robust to the 'shot noise', which is dynamic and short-period in the wavelet domain. First, a preprocessing filter is designed with Entropy to combat the restlessness of noise component in spatial domain. Then, a shot noise filter is designed via AMP with Renyi Entropy in wavelet domain. By using the two-step denoising method, we can 'individualized' denoise both in spatial and wavelet domains. The experimental results show that, with pre-processing filtering, our denoising method outperform the design via AMP with wavelet thresholds.
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页数：2
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