TY - JOUR
T1 - An Anisotropic Convection-Diffusion Model Using Tailored Finite Point Method for Image Denoising and Compression
AU - Yu-Tuan Lin, Yin-Tzer Shih & Chih-Ching Tsai
JO - Communications in Computational Physics
VL - 5
SP - 1357
EP - 1374
PY - 2018
DA - 2018/04
SN - 19
DO - http://doi.org/10.4208/cicp.scpde14.30s
UR - https://global-sci.org/intro/article_detail/cicp/11133.html
KW - 
AB - <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>