DocumentCode :
3514828
Title :
HDR image compression using optimized tone mapping model
Author :
Sugiyama, Nagisa ; Kaida, Hironori ; Xue, Xinwei ; Jinno, Takao ; Adami, Nicola ; Okuda, Masahiro
Author_Institution :
Dept. of Inf. & Media Sci., Univ. of Kitakyushu, Kitakyushu
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
1001
Lastpage :
1004
Abstract :
In this paper, we propose a coding algorithm for high dynamic range images (HDRI). Our encoder applies a tone mapping model based on scaled mu-Law encoding, followed by a conventional low dynamic range image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone mapped HDRI and its LDR version. By virtue of the nature of the model, not only the quality of the HDRI but also the one of LDRI are improved, compared with a state of the art in conventional HDRI compression. Furthermore the error caused by our tone mapping model encoding is theoretically analyzed.
Keywords :
data compression; image coding; HDR image compression; coding algorithm; high dynamic range images; low dynamic range image encoder; mapped HDRI; optimized tone mapping model; scaled mu-Law encoding; Automation; Cameras; Decoding; Dynamic range; Heuristic algorithms; Humans; Image coding; Layout; Transform coding; Visual system; HDRI; coding; tone mapping model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959755
Filename :
4959755
Link To Document :
بازگشت