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

Authors

  • Yu-Tuan Lin, Yin-Tzer Shih & Chih-Ching Tsai

DOI:

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

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.

Published

2020-07-31

Issue

Section

Articles