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...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | España |
| Recursos: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/42151 |
| Acesso em linha: | http://hdl.handle.net/10230/42151 http://dx.doi.org/10.18178/ijsps.5.3.100-105 |
| Access Level: | acceso abierto |
| Palavra-chave: | High Dynamic Range (HDR) HDR-television (HDR-TV) Transfer Function (TF) Video coding Video compression |
| Resumo: | 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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