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An Anisotropic Convection-Diffusion Model Using Tailored Finite Point Method for Image Denoising and Compression

An Anisotropic Convection-Diffusion Model Using Tailored Finite Point Method for Image Denoising and Compression

Year:    2016

Author:    Yu-Tuan Lin, Yin-Tzer Shih, Chih-Ching Tsai

Communications in Computational Physics, Vol. 19 (2016), Iss. 5 : pp. 1357–1374

Abstract

In this paper we consider an anisotropic convection-diffusion (ACD) filter for image denoising and compression simultaneously. The ACD filter is discretized by a tailored finite point method (TFPM), which can tailor some particular properties of the image in an irregular grid structure. A quadtree structure is implemented for the storage in multi-levels for the compression. We compare the performance of the proposed scheme with several well-known filters. The numerical results show that the proposed method is effective for removing a mixture of white Gaussian and salt-and-pepper noises.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.scpde14.30s

Communications in Computational Physics, Vol. 19 (2016), Iss. 5 : pp. 1357–1374

Published online:    2016-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    18

Keywords:   

Author Details

Yu-Tuan Lin

Yin-Tzer Shih

Chih-Ching Tsai

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