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