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