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