An Image Enhancement Algorithm Based on Second Generation Wavelet Integer Transform

DOI

10.2991/ameii-16.2016.49How to use a DOI?

Keywords

lifting wavelets, second generation wavelet, homomorphic filtering, histogram equalization

Abstract

Traditional histogram enhancement algorithm to enhance image has the defect of over-bright image, amplified noise, and missing image details. In view of these defects, this paper proposes an image enhancement algorithm based on second generation wavelet integer transform. At first, use the second generation wavelet integer transform to decompose the original image with wavelet. Then, integer low-frequency subimage in the wavelet domain is calculated with histogram equalization to figure out low-frequency subimage . And make an evenly spaced arrangement for integer low-frequency subimage of equalized histogram between the maximum and the minimum to figure out new low-frequency subimage . At last, low-frequency subimage is reconstructed. In comparison with classic histogram equalization algorithm and experimental results of homomorphic filtering, algorithm in this paper keeps the optimal in enhancing image, suppressing noise and preserving brightness.

Copyright

© 2016, 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  - Yi Zhang
AU  - Haifeng Wang
PY  - 2016/04
DA  - 2016/04
TI  - An Image Enhancement Algorithm Based on Second Generation Wavelet Integer Transform
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 242
EP  - 249
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.49
DO  - 10.2991/ameii-16.2016.49
ID  - Zhang2016/04
ER  -