CVMMFeb 21, 2015

Intra-and-Inter-Constraint-based Video Enhancement based on Piecewise Tone Mapping

arXiv:1502.06080v125 citations
Originality Incremental advance
AI Analysis

This addresses video quality issues for applications requiring adaptive enhancement, but it appears incremental as it builds on existing tone mapping and constraint methods.

The paper tackles video enhancement by proposing an intra-and-inter-constraint-based approach to improve both intra-frame quality across multiple regions-of-interest and inter-frame consistency, with experimental results showing it outperforms state-of-the-art algorithms.

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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