DocumentCode :
463576
Title :
Raw Image Encoding Based on Polynomial Approximation
Author :
Okuda, Masahiro ; Adami, Nicola
Author_Institution :
Dept. of Inf. & Media Sci., Kitakyushu Univ.
Volume :
1
fYear :
2007
fDate :
15-20 April 2007
Abstract :
In this paper, we propose a coding algorithm for raw images with high dynamic ranges. Our encoder has two layers. In the first layer, 24 bit low dynamic range image is encoded by a conventional codec, and then the ratio image that represents the difference between the decoded 24 bit image and the raw image is encoded in the second layer. Experiments shows compression efficiency is significantly improved by taking an inverse tone mapping into account.
Keywords :
data compression; decoding; image coding; polynomial approximation; compression efficiency; decoding; inverse tone mapping; polynomial approximation; raw image encoding; Approximation algorithms; Automation; Charge coupled devices; Codecs; Decoding; Digital cameras; Dynamic range; Image coding; Polynomials; Transform coding; Compression; Polynomial Approximation; Raw Image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2007.366091
Filename :
4217263
Link To Document :
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