DocumentCode
3274496
Title
Image De-Noising Algorithm Using Adaptive Bayes Threshold by Subband Based on Nonsubsampled Contourlet Transform
Author
Ou Yang ; Hong Bo
Author_Institution
Hunan Univ. of Technol., Zhuzhou, China
fYear
2013
fDate
16-18 Jan. 2013
Firstpage
832
Lastpage
835
Abstract
Utilizing the nonsubsampled contour let transform\´s(NSCT)advantages of translation invariance", "multi-resolution", "multidirection", "A image de-noising algorithm using adaptive bayes threshold by sub band based on nonsubsampled contour let transform is presented. Source images are decomposed to the domain of the NSCT, and According to different scales, different directions of sub-band energy, adaptive denoising threshold. Comparing with the multi-scale threshold using contour let transform and using adaptive threshold based on contour let transform, the simulation results show that the performance of this method is superior in Visual effects and psnr.
Keywords
Bayes methods; image denoising; image resolution; transforms; NSCT; adaptive Bayes threshold; adaptive denoising threshold; image denoising algorithm; multidirection; multiresolution; nonsubsampled contourlet transform; psnr; subband; translation invariance; visual effects; Image denoising; Noise reduction; PSNR; Wavelet transforms; Bayes threshold; image de-noising; nonsubsampled contourlet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-4893-5
Type
conf
DOI
10.1109/ISDEA.2012.197
Filename
6455733
Link To Document