Image Denoising Algorithm Based on Dyadic Contourlet Transform
Abstract
Keywords
References
[1] Pajares G, Mauel J C, “A wavelet-based image fusion tutorial,” Pattern Recognition Vol.37, no.9, 1855-1872, September 2004
doi:10.1016/j.patcog.2004.03.010
[2] MinhN.Do,sitieti,holly, “The Finite Ridgelet Transform for Image Representation,” IEEE Transactionson Image Proeessing, Vol.12, No.l, 16-28, January 2003
PMid:18237876
[3] Ramin Eslami, Hayder Radha. “Wavelet-based contourlet transform and It’s application to image coding,” IEEE Intenrational Conference on Image Processing,Singapore, 3189-3192, October 2004
[4] Christophe Simon, Frederique Bicking and Thierry Simon, “Estimation of depth on thick edges from sharp and blurred images,” IEEE Instrumentation and Measurement Technology Conference, Anchorage. Vol.1, 323-328,August 2002
[5] Donoho.D.L, “De-noising by soft-thresholding,” IEEE Transon IT, Vol.41, no.3, 613-627,May 1995
doi:10.1109/18.382009
[6] Do M N,VetterliM, “Contourlets:A directional multiresolution image representation,” International Conferenceon Image Processing, Vol.1, 357-360, November 2002
[7] Do M N,VetterliM, “The contourlet transform:An efficient directional multiresolution image representation,” IEEE Trans Image Process, Vol.14, no.12, 2091-2106, December 2005
doi:10.1109/TIP.2005.859376
PMid:16370462
[8] DuncanD Y,DoM N, “Directionl multiscale statistical modeling ofimages using the contourlet transform,” IEEE Trans Image Porcocess, Vol.15, no.6, 1610-1620,June 2006
doi:10.1109/TIP.2006.873450
PMid:16764285
[9] Do M N,Vetterli M, “Pyramidal directional filter banks and curvelets,” Proceedings of International Conference on Image Processing, 158-161,August 2001
[10] A L Cunha, J Zhou, M N Do, “The nonsubsampled contourlet transform: Theory, design and application” IEEE Transactions on Image Processing, Vol.15, no.10, 3089-3101, October 2006
doi:10.1109/TIP.2006.877507
PMid:17022272
[11] ChenGY,BuiTD,KrzyzakA, “Multi-wavelets image denoising using neighboring coefficients,” IEEE Trans on Image Proeessing Letters, Vol.10, no.7, 21l-214,July 2003
[12] ChangSG,YuB,VetterliM, “Adaptive wavelet thresholding for image denoising and compression,” IEEE Trans.on Image Processing, Vol.9, no.9, 1532-1546, September 2000
doi:10.1109/83.862633
PMid:18262991
[13] G. Piella, “New quality measures for image fusion,” Proceedings of the 7th International Conference on Information Fusion (Fusion 2004), International Society of Information Fusion (ISIF), Stockholm, Sweden, Vol.6, 542-546, September 2004
Full Text: PDF