Combined Enhancement Algorithm Based on Muti-Scale Analysis

DOI

10.2991/iccia.2012.386How to use a DOI?

Keywords

wavelet transform, curvelet transform, muti-scale analysis

Abstract

Based on combinations of wavelet and curvelet transforms, an adaptive combined enhancement algorithm (ACEA) was proposed to solve the problems of the conventional method for image enhancement based on wavelet transform that the enhancement of edges whose contrast was same but angles were different was greatly different. The algorithm uses the wavelet transform to enhancement homogeneous areas and the curvelet transform to enhancement areas with edges. Simulation experiment results demonstrated that the algorithm got better cross entropy and CORR, improved effectively the effect of edge enhancement with good visual effect.

Copyright

© 2013, 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/).

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TY  - CONF
AU  - Wei-guo Yuan
AU  - Song Wang
PY  - 2014/05
DA  - 2014/05
TI  - Combined Enhancement Algorithm Based on Muti-Scale Analysis
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1553
EP  - 1556
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.386
DO  - 10.2991/iccia.2012.386
ID  - Yuan2014/05
ER  -