An adaptive Logluv transform for High Dynamic Range video compression

Autor:	Herbert Thoma, Ajit Motra
Rok vydání:	2010
Předmět:	business.industry Dynamic range Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION High-dynamic-range imaging Bit rate Computer vision Artificial intelligence business Encoder High dynamic range Transform coding ComputingMethodologies_COMPUTERGRAPHICS Data compression
Zdroj:	ICIP
DOI:	10.1109/icip.2010.5654069
Popis:	High Dynamic Range (HDR) imaging represents a wide range of intensity levels found in real scenes ranging from direct sunlight to shadows. However, raw HDR sequences require very huge memory space for storage. In this work, we present an approach of how an existing encoder can be used for encoding HDR video sequence with our proposed adaptive LogLuv transform. The proposed method shows considerable improvement when compared with non-adaptive LogLuv transform.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ad6201b8aa38e2d5920e3a4cd18d4b19 https://doi.org/10.1109/icip.2010.5654069 Zobrazit plný text záznamu