Image denoising based on the dyadic wavelet transform

被引：0

作者：

Fei, PY ^{[1
]}

Guo, BL ^{[1
]}

机构：

[1] Xidian Univ, Sch Mech Elect Engn, Xian 710071, Peoples R China

来源：

ICCIMA 2003: FIFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Since subsampling does not take place in image dyadic wavelet transform at each level, image representation in dyadic wavelet domain compared with wavelet series reconstruction is very redundant and part of disturbance of image dyadic wavelet coefficients in transform domain will not lead to serious distortion. Therefore, with the same error decision probability, the better reconstruction can be expected. Based on this idea, this paper extends the existing wavelet-based Image denoising approaches to the dyadic wavelet-based image denoising (DWID). Numerical experiments show that DWID can significantly improve the Power Signal-to-Noise Ratio.

引用

页码：402 / 406

页数：5

共 50 条

[31] Image Denoising Method Based on Improved Wavelet Threshold Transform
Xi Jianhui
Tang Li
[J]. 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019), 2019, : 1064 - 1067
[32] Ultrasound image denoising based on adaptive lifting wavelet transform
Han, JL
Ge, SM
Shen, Y
[J]. ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 6141 - 6144
[33] Mammographic image enhancement and denoising based on redundant wavelet transform
Wen, Xeu-Bing
Liang, Xue-Zhang
Han, Yi-Nan
Ji, Jing-Na
[J]. WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING, VOL 1 AND 2, 2006, : 880 - +
[34] Wavelet transform based error concealment approach for image denoising
Gupta, Pradeep K.
Kanhirodan, Rajan
[J]. 2006 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, 2006, : 338 - +
[35] Combining Curvelet Transform and Wavelet Transform for Image Denoising
Li, Ying
Zhang, Shengwei
Hu, Jie
[J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2010, 6216 : 317 - +
[36] Adaptive MR image denoising based on stationary wavelet transform
Wu, J
Liu, Y
Liu, CY
Chen, W
Liu, YM
[J]. ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 6294 - 6297
[37] A Novel Medical Image Enhancement Algorithm Based On Dyadic Wavelet Transform
Li Jia
Yang Yunfeng
Wang Pengxiao
Li Bo
[J]. APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 2726 - 2729
[38] X-ray image enhancement based on the dyadic wavelet transform
Qi, Zhihua
Zhang, Li
Xing, Yuxiang
Li, Shuanglei
[J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2006, 14 (02) : 83 - 93
[39] Stationary wavelet transform based on image rotation and its application to image denoising
Song Beibei
Xu Luping
Sun Wenfang
[J]. ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 1118 - 1121
[40] Image Denoising using Wavelet Transform Method
Gupta, Vikas
Mahle, Rajesh
Shriwas, Raviprakash S.
[J]. 2013 TENTH INTERNATIONAL CONFERENCE ON WIRELESS AND OPTICAL COMMUNICATIONS NETWORKS (WOCN), 2013,

← 1 2 3 4 5 →