Title :
Image Denoising Method Based on Curvelet Cycle Spinning
Author :
Cheng, Yuanhang ; Li, Yanping ; Xue, Dingyu
Author_Institution :
Sch. of Inf. Eng., Shenyang Univ., Shenyang
Abstract :
A new method of image denoising was put forward, based on integrated utilization of Curvelet transform and Cycle spinning. Because there existed "encircling" phenomenon for Curvelet transform, if images threshold denoising of Curvelet coefficients was performed directly, the image would be distorted, in this paper, Cycle spinning was introduced to eliminate the image distortion produced by "encircling". The simulation experiment indicated that the algorithm had perfect inhibiting ability for noise, moreover, it can protect the detail information of image; when different kinds of impulse noise images with different density were filtered, satisfied results can always be obtained.
Keywords :
curvelet transforms; image denoising; image segmentation; curvelet cycle spinning; curvelet transform; detail information; image distortion; images threshold denoising; Image denoising; Image processing; Image sampling; Information filtering; Information filters; Information science; Noise reduction; Protection; Spinning; Wavelet transforms;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.763