Title :
Adaptive selection of colour transformations for reversible image compression
Author_Institution :
Inst. of Commun. Eng., Deutsche Telekom, Leipzig, Germany
Abstract :
This paper presents and investigates a new family of reversible low-complexity colour transformations. It shows that, for a reasonably large set of natural images, there is a colour transform which performs better in the context of lossless image compression than the reversible colour transform defined in the JPEG2000 standard, while having only slightly increased complexity. The optimal selection of a colour space for each single image can distinctly decrease the bitrate of the compressed image. A novel approach is proposed, which automatically selects a suitable colour space with negligible loss of performance compared to the optimal selection.
Keywords :
data compression; image coding; image colour analysis; matrix algebra; JPEG2000 standard; adaptive selection; lossless image compression; reversible image compression; reversible low-complexity colour transformations; Bit rate; Complexity theory; Decorrelation; Image coding; Image color analysis; Transform coding; Transforms; image compression; reversible colour transform;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-1068-0