Intra-and-Inter-Constraint-based Video Enhancement based on Piecewise Tone Mapping
Yuanzhe Chen, Weiyao Lin, Chongyang Zhang, Zhenzhong Chen, Ning Xu,, Jun Xie

TL;DR
This paper introduces a novel intra-and-inter-constraint-based video enhancement method that adaptively enhances multiple regions within frames and maintains temporal consistency across frames, outperforming existing algorithms.
Contribution
The paper proposes a new approach combining piecewise tone mapping with intra- and inter-frame constraints for improved video quality and consistency.
Findings
Outperforms state-of-the-art video enhancement algorithms
Enhances multiple regions simultaneously within frames
Maintains temporal quality consistency across video frames
Abstract
Video enhancement plays an important role in various video applications. In this paper, we propose a new intra-and-inter-constraint-based video enhancement approach aiming to 1) achieve high intra-frame quality of the entire picture where multiple region-of-interests (ROIs) can be adaptively and simultaneously enhanced, and 2) guarantee the inter-frame quality consistencies among video frames. We first analyze features from different ROIs and create a piecewise tone mapping curve for the entire frame such that the intra-frame quality of a frame can be enhanced. We further introduce new inter-frame constraints to improve the temporal quality consistency. Experimental results show that the proposed algorithm obviously outperforms the state-of-the-art algorithms.
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