Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Image enhancement algorithm combining multi-scale Retinex and bilateral filter

Authors
Ming-rong Wang, Shu-qing Jiang
Corresponding Author
Ming-rong Wang
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.216How to use a DOI?
Keywords
blurred image; image enhancement; color constancy theory; defog;
Abstract
Under some special conditions, the quality of the inquired image is low, and the image has blurred characteristic, in order to improve the quality of the blurred image, this paper proposes a blurred image enhancement algorithm based on improved multi-scale Retinex. The shortcomings of the traditional methods are analyzed, by the idea of constraining weighted average to optimize traditional algorithm, and enhance detail information of blurred image, and multiple blurred image are utilized on the algorithm performance simulation test. The simulation results show that the blurred image enhancement algorithm of improved multi-scale Retinex, solves the problem of the traditional Retinex algorithm, speed up the running speed of the blurred image enhancement, makes the blurred image clearer, and obtain better visual effect.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Ming-rong Wang
AU  - Shu-qing Jiang
PY  - 2015/04
DA  - 2015/04
TI  - Image enhancement algorithm combining multi-scale Retinex and bilateral filter
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.216
DO  - https://doi.org/10.2991/amcce-15.2015.216
ID  - Wang2015/04
ER  -