Edge-Preserving Decompositions for Multi-Scale with Adaptive TV

DOI

10.2991/ccit-14.2014.103How to use a DOI?

Keywords

Edge-Preserving, WLS, adaptive TV, ADM, Multi-Scale Decomposition

Abstract

Digital image processing has received widespread attention in recent years, multi-scale image decomposition has been extensively studied. Many recent computational photography techniques decompose an image into a smooth base layer, and a residual detail layer. In many applications, it is important to control the spatial scale of the extracted details. Aiming at this problem, we have extensively studied the weighted least squares framework firstly, through the image priors total variation to preserve the edge; Second, the paper develop an adaptive weight function that is able to describe some structures of an image. This adaptive weight function together with TV regularizer can able preserve large scale structures and remove tiny details. Finally, the proposed method is solved by alternating iterative minimization, which has fast convergence peroperty. Experiments show that our method can keep the image edges and avoid visual artifacts in image processing. Moreover, our method has obvious advantages in operation time. It is efficient algorithm to extracted details at the arbitrary multi-scale.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zhiqiang Cui
AU  - Zhixun Su
PY  - 2014/01
DA  - 2014/01
TI  - Edge-Preserving Decompositions for Multi-Scale with Adaptive TV
BT  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 404
EP  - 409
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.103
DO  - 10.2991/ccit-14.2014.103
ID  - Cui2014/01
ER  -