Loading [a11y]/accessibility-menu.js
Single Image Reflection Removal Based on Bi-Channels Prior | IEEE Conference Publication | IEEE Xplore

Single Image Reflection Removal Based on Bi-Channels Prior


Abstract:

Single image reflection removal is a crucial technique which can improve the performance of object detection, semantic segmentation, and various computer vision applicati...Show More

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 mathematically. 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.
Date of Conference: 16-19 October 2022
Date Added to IEEE Xplore: 18 October 2022
ISBN Information:

ISSN Information:

Conference Location: Bordeaux, France

Funding Agency:


Contact IEEE to Subscribe

References

References is not available for this document.