SUPER-RESOLUTION OF HEVC VIDEOS VIA CONVEX OPTIMIZATION

被引：0

作者：

Boyadjis, Benoit ^{[1
,2
]}

Pesquet-Popescu, Beatrice ^{[1
]}

Dufaux, Frederic ^{[1
]}

Bergeron, Cyril ^{[2
]}

机构：

[1] Univ Paris Saclay, CNRS, LTCI, Telecom Paristech, F-75634 Paris, France

[2] OPS HTE STR MMP, Thales Commun & Secur, F-92230 Gennevilliers, France

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2016年

关键词：

HEVC; video compression; Super Resolution; Convex Optimization;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Super Resolution (SR) addresses the problem of image and video upscaling. Most of the best performing SR methods do not take into account any compression prior into the degradation model. Consequently, compression artifacts can be undesirably amplified during SR. In the present work, we propose a novel HEVC-dedicated approach for embedding SR results into a domain that closely fits the compressed observation. Our main contribution is the inclusion of HEVC syntax (block size, quantization parameters etc.) into the degradation model. A recent convex optimization approach is used to solve the associated minimization problem. Over a wide range of resolutions and bitrates, we show that our method improves the results obtained with state of the art SR.

引用

页码：1145 / 1149

页数：5

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