@Article{CiCP-19-5,
author = {},
title = {An Anisotropic Convection-Diffusion Model Using Tailored Finite Point Method for Image Denoising and Compression},
journal = {Communications in Computational Physics},
year = {2016},
volume = {19},
number = {5},
pages = {1357--1374},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.scpde14.30s},
url = {https://global-sci.com/article/80298/an-anisotropic-convection-diffusion-model-using-tailored-finite-point-method-for-image-denoising-and-compression}
}