Adaptive Image Enhancement Algorithm Based on Matching Pyramid Decomposition

DOI

10.2991/iccia-17.2017.87How to use a DOI?

Keywords

Image enhancement, matching pyramid decomposition, feature points, adaptive enhancement.

Abstract

Image enhancement technology is targeted to highlight the overall and local useful information characteristics of the images, expand the differences between different feature points in the image, rich image information to meet the application needs of different environments. The current image enhancement algorithm uses corner point extraction and feature matching technology, information loss and distortion can occur during SIFT feature point matching, the performance is not good. An image enhancement algorithm based on adaptive projection matching and pyramid decomposition is proposed, feature extraction and multi-layer purification of blurred images are performed on the scale translational plane, the discrete dopplerlet transform is used to reconstruct the image, the high frequency image is denoised by adaptive matching projection filtering, and the grey pixel value of image was enhanced by adaptive pyramidal matching projection decomposition. Simulation results show that the proposed algorithm is effective to remove or reduce the noise, and the image enhancement effect is good, and the peak signal-to-noise ratio is improved.

Copyright

© 2017, 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  - Linlin Zhao
PY  - 2016/07
DA  - 2016/07
TI  - Adaptive Image Enhancement Algorithm Based on Matching Pyramid Decomposition
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 510
EP  - 517
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.87
DO  - 10.2991/iccia-17.2017.87
ID  - Zhao2016/07
ER  -