DocumentCode :
480963
Title :
Evaluation of lossless image compression algorithms for CFA data
Author :
Schaefer, Gerald ; Nowosielski, Rafal ; Starosolski, Roman
Author_Institution :
Sch. of Eng., Aston Univ., Birmingham
Volume :
1
fYear :
2008
fDate :
10-12 Sept. 2008
Firstpage :
57
Lastpage :
60
Abstract :
The CCD sensors of a digital camera are arranged in a colour filter array fashion where each element records only one colour. While the majority of images captured with digital cameras are recorded in JPEG format, preserving the raw image data becomes more and more important. Typically each manufacturer uses their own proprietary raw image format and usually no compression is applied. In this paper we investigate what savings in terms of storage space can be gained by applying lossless compression to the raw colour filter array data. Based on an image set of 200+ images we evaluate eight different compression algorithms in terms of compression efficacy and compression speed. The results show that JPEG-LS seems to be best suited to be employed in digital cameras offering good compression ratios coupled with high speed.
Keywords :
CCD image sensors; cameras; data compression; image coding; image colour analysis; optical filters; CCD sensors; CFA data; JPEG format; colour filter array; digital camera; lossless image compression algorithms; Charge coupled devices; Charge-coupled image sensors; Compression algorithms; Digital cameras; Digital filters; Image coding; Image resolution; Image storage; Sensor arrays; Transform coding; Bayer pattern; CFA data; image compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ELMAR, 2008. 50th International Symposium
Conference_Location :
Zadar
ISSN :
1334-2630
Print_ISBN :
978-1-4244-3364-3
Type :
conf
Filename :
4747437
Link To Document :
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