STUDY ON THE ENHANCEMENT AND DENOISING OF MAMMOGRAMS

ZHANG Xin-Sheng; GAO Xin-Bo; WANG Ying; ZHANG Shi-Jie

[1] Do M N, Vetterli M. The finite ridgelet transform for image representation[J]. IEEE Transactions on Image Processing,2003,12(1):16-28.

[2] Starck J, Cand s E J, Donoho D L. The curvelet transform for image denoiseing[J]. IEEE Transactions on Image Processing,11(6),2002:670-684.

[3] Pennec E L, Mallat S. Sparse Geometric image representation with bandelets[J]. IEEE Transactions on Image Processing,2005,14(4):423-438.

[4] Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions Image on Processing,2005,14(2):2091-2106.

[8] Cunha A L, Zhou J, Do M N. The nonsubsampled contourlet transform: theory, design, and applications[J]. IEEE Transactions on Image Processing,2006,15(10):3089-3101.

[9] Laine A, Fan J, Yang W. Wavelets for contrast enhancement of digital mammography[J]. IEEE Engineering in Medicine and Biology,1995,14(5):536-550.

[10] Bovis K, Singh S. Enhancement technique evaluation using quantitative measures on digital mammograms[C]. The 5th International Workshop on Digital Mammography, Toronto, Canada, 2000: 547-553.

[11] Suckling J, Parker J, Dance D, et al. The mammographic images analysis society digital mammogram database[C]. Exerpta Medica, International Congress Series,1069:375-378.