IEEE Trans Image Process - Adaptive 2-D wavelet transform based on the lifting scheme with preserved vanishing moments.

Tópicos

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Resumo

In this paper, we propose novel adaptive wavelet filter bank structures based on the lifting scheme. The filter banks are nonseparable, based on quincunx sampling, with their properties being pixel-wise adapted according to the local image features. Despite being adaptive, the filter banks retain a desirable number of primal and dual vanishing moments. The adaptation is introduced in the predict stage of the filter bank with an adaptation region chosen independently for each pixel, based on the intersection of confidence intervals (ICI) rule. The image denoising results are presented for both synthetic and real-world images. It is shown that the obtained wavelet decompositions perform well, especially for synthetic images that contain periodic patterns, for which the proposed method outperforms the state of the art in image denoising.

Resumo Limpo

paper propos novel adapt wavelet filter bank structur base lift scheme filter bank nonsepar base quincunx sampl properti pixelwis adapt accord local imag featur despit adapt filter bank retain desir number primal dual vanish moment adapt introduc predict stage filter bank adapt region chosen independ pixel base intersect confid interv ici rule imag denois result present synthet realworld imag shown obtain wavelet decomposit perform well especi synthet imag contain period pattern propos method outperform state art imag denois

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