[IPOL announce] new article: Directional Filters for Cartoon + Texture Image Decomposition

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2016/165/

Antoni Buades, and Jose-Luis Lisani,
Directional Filters for Cartoon + Texture Image Decomposition,
Image Processing On Line, 6 (2016), pp. 75–88.
http://dx.doi.org/10.5201/ipol.2016.165

Abstract
We present in this article a detailed analysis and implementation of the 
cartoon+texture decomposition algorithm proposed in [A. Buades, J.L. 
Lisani, 'Directional filters for color cartoon + texture image and video 
decomposition', Journal of Mathematical Imaging and Vision, 2015]. This 
method follows the approach proposed by [A. Buades, T. Le, J-M. Morel, 
L. Vese, 'Cartoon+Texture Image Decomposition', IPOL 2011], based on 
low/high-pass filtering, but replaces the isotropic filters by a bank of 
low-pass directional filters. The cartoon image is obtained by filtering 
in the direction that leads to the largest local total variation rate 
reduction. This permits to improve the performance of the decomposition 
near image discontinuities, where an halo effect was produced by the 
previous method.