DocumentCode :
588850
Title :
Image Denoising Based on Wave Atoms and Cycle Spinning
Author :
Zhang Wei-qiang ; Song Yi-Mei ; Feng Ji-qiang
Author_Institution :
Inst. of Intell. Comput. Sci., Shenzhen Univ., Shenzhen, China
fYear :
2012
fDate :
17-18 Nov. 2012
Firstpage :
310
Lastpage :
313
Abstract :
A new method for image denoising was presented", "which colligated the strong point of wave atoms transform and Cycle Spinning. Due to lack of translation invariance of wave atoms transform", "image denoising by coefficient thresholding would lead to Pseudo-Gibbs phenomena. Cycle Spinning was employed to avoid the artifacts. Experimental results show that the method can remove noisy and remain edges, while Pseudo-Gibbs phenomena are controlled efficiently, and can get better visual effect and PSNR gains compared with the methods like simplex wave atoms or wavelet denoising using Cycle Spinning. And in heavy background noise, this advantage is significant.
Keywords :
image denoising; wavelet transforms; PSNR gains; Pseudo-Gibbs phenomena; background noise; coefficient thresholding; cycle spinning; image denoising; translation invariance; visual effect; wave atoms transform; Image denoising; Image edge detection; Noise reduction; Oscillators; PSNR; Spinning; Wavelet transforms; Cycle Spinning; denoising; image processing; translation invariance; wave atoms; wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
Type :
conf
DOI :
10.1109/CIS.2012.76
Filename :
6405851
Link To Document :
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