Anisotropic Diffusion-based Denoising Using Residual image for Preservation of Image Details

被引：0
|
作者：
Bae, GyuJin [1 ]
Cho, Sung In [1 ]
Kim, Young Hwan [1 ,2 ]
机构：
[1] Pohang Univ Sci & Technol, Dept Elect Engn, Pohang, South Korea
[2] Pohang Univ Sci & Technol, Dept Creat IT Engn, Pohang, South Korea
来源：
2014 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC) | 2014年
关键词：
Image denoising; Noise reduction; Anisotropic diffusion; residual image;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an anisotropic diffusion-based approach to noise reduction, which utilizes the residual image in the wavelet domain to improve the quality of image detail preservation. In the experimental results, the proposed method improves the quality of denoised images by increasing peak signal-to-noise ratio up to 1.17 dB and structural similarity index up to 0.026.
引用
收藏
页码：52 / 53
页数：2
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