¹College of Mathematics and computational Science, Shenzhen University, Shenzhen 518060, China
²School of Science, Xidian University, Xi’an 710071, China
³Institute of Intelligent Computing Science, Shenzhen University, Shenzhen 518060, China

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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.

Index Terms—image processing, denoising, wavelet transforms, wave atoms, translation invariance, Cycle Spinning

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Cite: Wei-qiang Zhang, Yi-mei Song, Ji-qiang Feng, "A New Image Denoising Method Based on Wave Atoms and Cycle Spinning," Journal of Software vol. 9, no. 1, pp. 216-221, 2014.