| 000 | 01603 a2200217 4500 | ||
|---|---|---|---|
| 020 | _a9780128138946 | ||
| 040 | _cIIT Kanpur | ||
| 041 | _aeng | ||
| 082 |
_a621.3894 _bB461v |
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| 100 | _aBertalmio, Marcelo | ||
| 245 |
_aVision models for high dynamic range and wide colour gamut imaging _btechniques and applications _cMarcelo BertalmÃo |
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| 260 |
_bAcademic Press _c2020 _aLondon |
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| 300 | _axvii, 306p | ||
| 440 | _aComputer vision and pattern recognition series | ||
| 490 | _a / edited by Horst Bischof | ||
| 520 | _aTo enhance the overall viewing experience (for cinema, TV, games, AR/VR) the media industry is continuously striving to improve image quality. Currently the emphasis is on High Dynamic Range (HDR) and Wide Colour Gamut (WCG) technologies, which yield images with greater contrast and more vivid colours. The uptake of these technologies, however, has been hampered by the significant challenge of understanding the science behind visual perception. Vision Models for High Dynamic Range and Wide Colour Gamut Imaging provides university researchers and graduate students in computer science, computer engineering, vision science, as well as industry R&D engineers, an insight into the science and methods for HDR and WCG. It presents the underlying principles and latest practical methods in a detailed and accessible way, highlighting how the use of vision models is a key element of all state-of-the-art methods for these emerging technologies. | ||
| 650 | _aPattern recognition systems | ||
| 650 | _aComputer vision | ||
| 650 | _aImage processing | ||
| 942 | _cBK | ||
| 999 |
_c561147 _d561147 |
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