| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10360253 | Image and Vision Computing | 2005 | 7 Pages |
Abstract
This paper introduces a novel algorithm to image enhancement that exploits the multi-scale wavelet and statistical characters of visual representation. Processing includes the global dynamic range (brightness) correction and local contrast adjustment, whose parameters are picked automatically by the information contained in the image itself. Experimental results show that the new algorithm outperforms other many existing image enhancement methods and is highly resilient to the effects of both the image-source variations.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Huang Kaiqi, Wu Zhenyang, Wang Qiao,