Nonlinear pyramidal image decompositions based on local contrast parameters
نویسندگان
چکیده
The 2-D pyramidal image decomposition has been widely used in various image processing applications [6]. In this paper, we introduce filter bank implementations of a nonlinear multiresolution image representation based on local contrast measure. Following the work of Duval-Destin [3, 1] for visual contrast sensitivity, we define multiscale contrast coefficients by scaling the wavelet transform with a localized mean luminance. We show that a pyramidal representation is naturally associated with this new set of coefficients and study its properties. As an application, preliminary results of image coding experiments are discussed.
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