Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding

• URL: http://arxiv.org/abs/2606.29845v1
• Date: Mon, 29 Jun 2026 06:35:00 GMT
• Title: Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
• Abstract summary: Bricker is a synthetic-real bracketed RAW dataset built via ray-tracing-based physical simulation and automated multi-exposure capture tool.<n>BRACE is a multi-frame restoration model that utilizes frequency-aware banding prior and a multi-scale spatial cross-attention modulator (MSCAM) for cross-exposure spatial fusion.<n> Experiments demonstrate state-of-the-art performance on both synthetic and real benchmarks.
• Score: 38.58522501736665
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Flicker-banding (FB), arises from temporal aliasing between a camera's rolling shutter and a display's brightness modulation, degrading screen-captured image readability with color shifts and jagged patterns. Existing single-frame methods with simplified parametric stripe models cannot reliably distinguish these artifacts from genuine texture. To address this, we conduct a systematic analysis of complex FB morphologies and reveal their significant variation across exposure settings, motivating a multi-frame bracketed RAW restoration paradigm. We construct Bricker, a synthetic-real bracketed RAW dataset built via ray-tracing-based physical simulation and automated multi-exposure capture tool. We further propose BRACE: Bracketed RAW Flicker-Banding Removal, a multi-frame restoration model that utilizes frequency-aware banding prior and a multi-scale spatial cross-attention modulator (MSCAM) for cross-exposure spatial fusion. We also introduce the Stripe Frequency Consistency (SFC) metric to evaluate banding removal. Experiments demonstrate state-of-the-art performance on both synthetic and real benchmarks. Our dataset and code are available at: https://github.com/ZZH-qwq/BRACE.

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