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宋晓阳1, 宋克欧2, 陈亚珠1(1.上海交通大学生物医疗仪器研究所,上海 200240;2.哈尔滨工程大学计算机科学与技术学院,哈尔滨 150001)

摘 要
Contourlet Transform and Hidden Markov Model in Contourlet Domain


It has become evident that the commonly used two-dimensional tensor product wavelet bases are not optimal for representing signals that resemble images. This motivated a variety of schemes beyond wavelets, such as ridgelets, curvelets, contourlets, and wedgelets. Contourlet transform provides an efficient representation for two-dimensional piecewise smooth images, and constructed in discrete domain. In this paper, contourlets and hidden Markov model using contourlet transform are discussed, and the deep insights on the keys to understanding the contourlet transform are stated in details. The applications of contourlets, comparing with wavelets, are also introduced, and comment on the potential of contourlets for these applications in the future is given.