Multiscale t ransform2domain hidden Markov model s ( HMM’s) , a class of new statisti2 cal approaches to image perception and recognition , can effectively characterize the inter scale , in2 t rascale and cross2orientation correlations of t he coefficient s in different multiscale t ransform do2 mains. Wit h t he statistical characterization of t he coefficient s in t ransform domains t he center and t he design of various statistical model s and t he development of a variety of applications two wings , t hree classes of statistical characteristics and their mechanisms of discrete wavelet t rans2 form of an image are analyzed in dept h , ten statistical model s in multiscale t ransform domains are st udied comparatively , and t he state2of 2t he2art of multiscale t ransform2domain statistical model s in image perception , processing and analysis is systematically reviewed. Two types of successf ul applications in this research domain are discussed in detail , i. e. , image de

多尺度变换域图像的感知与识别_进展和展望.pdf

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