Improved high dynamic range video coding with a nonlinearity based on natural image statistics
High Dynamic Range (HDR) technologies support the capture and presentation of a wider range of luminance values than conventional systems. An important element of video processing is the transfer function which should emulate human perception and this needs to be revisited for HDR content and displa...
| Authors: | , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2017 |
| Country: | España |
| Institution: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repository: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/42151 |
| Online Access: | http://hdl.handle.net/10230/42151 http://dx.doi.org/10.18178/ijsps.5.3.100-105 |
| Access Level: | Open access |
| Keyword: | High Dynamic Range (HDR) HDR-television (HDR-TV) Transfer Function (TF) Video coding Video compression |
| Summary: | High Dynamic Range (HDR) technologies support the capture and presentation of a wider range of luminance values than conventional systems. An important element of video processing is the transfer function which should emulate human perception and this needs to be revisited for HDR content and displays. In the paper, we adapt a nonlinearity designed for the tone-mapping problem to the problem of video coding. We test the nonlinearity using the Motion Picture Experts Group methodology and find it can outperform existing methods in terms of HDR video quality measure. |
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