Title :
A High Performance Lossless Bayer Image Compression Scheme
Author :
Chung, King-Hong ; Chan, Yuk-Hee ; Fu, Chang-Hong ; Chan, Yui-Lam
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Demosaicing and compression are generally performed sequentially in most digital cameras. Recent reports show that the compression-first scheme outperforms the conventional demosaicing-first scheme in terms of image quality and complexity. In this paper, an efficient lossless compression scheme for Bayer images is presented. It exploits a context matching technique to rank the neighboring pixels for predicting a pixel. Besides, an adaptive color difference estimation scheme is also proposed to remove the spectral redundancy. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with the existing lossless CFA image coding methods.
Keywords :
data compression; filtering theory; image coding; image colour analysis; image matching; CFA image; adaptive color difference estimation scheme; color filter array; context matching technique; digital cameras; green subimage; image demosaicing; image quality; lossless Bayer image compression scheme; neighboring pixel ranking; nongreen subimage; prediction coding; spectral redundancy removal; Color; Digital cameras; Digital filters; Image coding; Image quality; Image sensors; Image storage; Layout; Performance loss; Sensor arrays; Cameras; Color Filter Array; Image Compression;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379165