Skip to Main content Skip to Navigation
Conference papers

Super-resolution of HEVC videos via convex optimization

Benoit Boyadjis 1, 2 Beatrice Pesquet-Popescu 1, 2 Frederic Dufaux 1, 2 Cyril Bergeron 
1 MM - Multimédia
LTCI - Laboratoire Traitement et Communication de l'Information
Abstract : 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.
Document type :
Conference papers
Complete list of metadata
Contributor : Admin Télécom Paristech Connect in order to contact the contributor
Submitted on : Friday, January 13, 2017 - 1:53:50 AM
Last modification on : Wednesday, November 3, 2021 - 6:23:13 AM


  • HAL Id : hal-01433774, version 1


Benoit Boyadjis, Beatrice Pesquet-Popescu, Frederic Dufaux, Cyril Bergeron. Super-resolution of HEVC videos via convex optimization. IEEE International Conference on Image Processing (ICIP’2016), Sep 2016, Phoenix, United States. ⟨hal-01433774⟩



Record views