IEEE Trans Image Process - A new hybrid method for image approximation using the easy path wavelet transform.

Tópicos

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Resumo

The easy path wavelet transform (EPWT) has recently been proposed by one of the authors as a tool for sparse representations of bivariate functions from discrete data, in particular from image data. The EPWT is a locally adaptive wavelet transform. It works along pathways through the array of function values and exploits the local correlations of the given data in a simple appropriate manner. However, the EPWT suffers from its adaptivity costs that arise from the storage of path vectors. In this paper, we propose a new hybrid method for image approximation that exploits the advantages of the usual tensor product wavelet transform for the representation of smooth images and uses the EPWT for an efficient representation of edges and texture. Numerical results show the efficiency of this procedure.

Resumo Limpo

easi path wavelet transform epwt recent propos one author tool spars represent bivari function discret data particular imag data epwt local adapt wavelet transform work along pathway array function valu exploit local correl given data simpl appropri manner howev epwt suffer adapt cost aris storag path vector paper propos new hybrid method imag approxim exploit advantag usual tensor product wavelet transform represent smooth imag use epwt effici represent edg textur numer result show effici procedur

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