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| Content Provider | IET Digital Library |
|---|---|
| Author | Wang, Shuhang Zheng, Jin Li, Bo |
| Abstract | As a challenging problem, image enhancement plays an important role in computer vision applications and has been widely studied. As one of the most difficult issues of image enhancement, outdoor nighttime image enhancement suffers from noise amplification easily. To solve this problem, this study proposes a parameter-adaptive nighttime image enhancement method with multi-scale decomposition. The main contributions of this work are threefold. First, the authors find out that noises in different scales are various, and their method decomposes an input image into three high-frequency layers and a background layer accordingly. Second, the authors’ method enhances each high-frequency layer using adaptive parameters based on the characteristics of noises. Third, the proposed method maps the background layer to make it suitable to present details. Experiment results demonstrate that the proposed method can suppress noises as well as improve details effectively. |
| Starting Page | 425 |
| Ending Page | 432 |
| Page Count | 8 |
| ISSN | 17519632 |
| Volume Number | 10 |
| e-ISSN | 17519640 |
| Issue Number | Issue 5, Aug (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cvi/10/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2015.0048 |
| Journal | IET Computer Vision |
| Publisher Date | 2016-04-22 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Background Layer Computer Vision Computer Vision And Image Processing Technique Decomposition High-frequency Layer Image Enhancement Multiscale Decomposition Noise Amplification Noise Characteristic Optical, Image And Video Signal Processing Outdoor Nighttime Image Enhancement Parameter-adaptive Nighttime Image Enhancement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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