Abstract | ||
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Rate control (RC) is an important tool that helps to control the bit rate of the compressed media. Current HEVC implementations include an RC algorithm, based on a R - lambda model, that does not consider the wide range of luma values depicted in HDR content. This paper proposes a multi-R - lambda-model approach for RC in HEVC that accurately attains a target bit rate while improving the reconstruction quality of HDR content, especially for very bright regions. Results, in terms of the mP-SNR and HDR-VDP-2 metrics, confirm the advantages of our approach compared to the current RC algorithm in HEVC. |
Year | Venue | Keywords |
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2017 | 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | HDR, HEVC, Rate Control, R - lambda model |
Field | DocType | ISSN |
Computer vision,Computer science,Bit rate,Implementation,Artificial intelligence,RC algorithm,Computer engineering,Integrated circuit,Distortion,Luma,Encoding (memory) | Conference | 1522-4880 |
Citations | PageRank | References |
3 | 0.39 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Karina R. Perez-Daniel | 1 | 3 | 0.39 |
Victor Sanchez | 2 | 144 | 31.22 |