SINGLE IMAGE REFLECTION REMOVAL BASED ON BI-CHANNELS PRIOR
Journal
Proceedings - International Conference on Image Processing, ICIP
ISBN
9781665496209
Date Issued
2022-01-01
Author(s)
Abstract
Single image reflection removal is a crucial technique which can improve the performance of object detection, semantic segmentation, and various computer vision applications. In this paper, we present a novel reflection removal algorithm using bi-channel priors (i.e., the dark channel prior and the bright channel prior). We observe that the values of dark channel pixels are not near 0, and those of bright channel pixels are not closer to 1 under the reflection scenario. We first demonstrate these phenomena statistically and mathe- matically. Then, we apply these properties as the constraints in optimizing the proposed reflection removal process. Extensive experiments on several well-known benchmarks demonstrate that our approach achieves desirable reflection suppression results compared with other methods.
Subjects
Bi-channels prior | Layer separation | Reflection removal
Type
conference paper