| |
| 科研成果 |
|
|
 |
|
| 论文题目： |
Single Image Dehazing by Latent Region-Segmentation Based Transmission Estimation and Weighted L1-norm Regularization |
| 第一作者： |
Cui T(崔童);Tian JD(田建东);Wang ED(王恩德);Tang YD(唐延东) |
| 参与作者： |
|
| 联系作者： |
|
| 发表刊物： |
IET Image Processing |
| 发表年度： |
2017 |
| 卷,期,页： |
11,2,145-154 |
| 论文出处： |
|
| 第一作者所在部门： |
|
| 论文编号： |
|
| 论文摘要： |
Image dehazing is a useful technique which can eliminate the bad effect of haze on images and enhance the performances of image/video processing algorithms in the hazy weather. In this study, a single image dehazing method is proposed. The authors estimate the initial transmission properly based on latent region-segmentation and refine the estimated initial transmission by an objective function with a novel weighted L1-norm regularisation term. The half-quadratic splitting minimisation method is employed to solve this optimisation problem. They also define an evaluation function to estimate the reliable global atmospheric light. With the refined transmission map and atmospheric light they recover the haze-free image by the haze imaging model. The authors’ method is compared with three state-of-the-art methods and is also validated by two image quality assessment methods. The comparative experimental results and evaluations demonstrate that their method can recover comparable and even better results with clear details, low contrast loss and high contrast in most cases. |
| 论文全文： |
|
| 其他备注： |
|
| 附件下载： |
|
|
|
