Robust Reflection Removal with Flash-only Cues in the Wild
Chenyang Lei, Xudong Jiang, Qifeng Chen

TL;DR
This paper introduces a novel reflection removal method using flash-only cues derived from raw image data, significantly improving accuracy and robustness in real-world scenarios with reflections and misalignments.
Contribution
The work presents a new reflection-free cue from flash-only images and a dedicated model to utilize this cue effectively, outperforming existing methods in reflection removal tasks.
Findings
Outperforms state-of-the-art methods by over 5.23dB in PSNR.
Handles misaligned flash-no-flash pairs with an alignment module, improving performance.
Effective on real-world images with various reflection types.
Abstract
We propose a simple yet effective reflection-free cue for robust reflection removal from a pair of flash and ambient (no-flash) images. The reflection-free cue exploits a flash-only image obtained by subtracting the ambient image from the corresponding flash image in raw data space. The flash-only image is equivalent to an image taken in a dark environment with only a flash on. This flash-only image is visually reflection-free and thus can provide robust cues to infer the reflection in the ambient image. Since the flash-only image usually has artifacts, we further propose a dedicated model that not only utilizes the reflection-free cue but also avoids introducing artifacts, which helps accurately estimate reflection and transmission. Our experiments on real-world images with various types of reflection demonstrate the effectiveness of our model with reflection-free flash-only cues: our…
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Taxonomy
TopicsImage Enhancement Techniques · Computer Graphics and Visualization Techniques · Color Science and Applications
