全景图像反射去除

Yuchen Hong, Qian Zheng, Lingran Zhao, Xudong Jiang, A. Kot, Boxin Shi
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引用次数: 10

摘要

本文研究了全景图像反射去除问题,旨在消除反射和传输场景之间的内容歧义。虽然反射场景的部分视图包含在全景图像中,但由于它与反射污染的图像不对齐,因此无法直接利用。我们提出了一个两步的方法来解决这个问题,首先通过粗到精的策略完成反射场景的几何和光度对准,然后通过恢复网络恢复传输场景。利用合成数据集对该方法进行了训练,并用真实全景图像数据集进行了定量验证。与基于单幅图像的反射去除方法相比,该方法具有显著的性能优势,并且能够对传统相机或手机用户捕获的有限视场场景进行泛化,从而验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Panoramic Image Reflection Removal
This paper studies the problem of panoramic image reflection removal, aiming at reliving the content ambiguity between reflection and transmission scenes. Although a partial view of the reflection scene is included in the panoramic image, it cannot be utilized directly due to its misalignment with the reflection-contaminated image. We propose a two-step approach to solve this problem, by first accomplishing geometric and photometric alignment for the reflection scene via a coarse-to-fine strategy, and then restoring the transmission scene via a recovery network. The proposed method is trained with a synthetic dataset and verified quantitatively with a real panoramic image dataset. The effectiveness of the proposed method is validated by the significant performance advantage over single image-based reflection removal methods and generalization capacity to limited-FoV scenarios captured by conventional camera or mobile phone users.
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