Title :
A multi-transform approach to reversible embedded image compression
Author :
Adams, Michael D. ; Antoniou, Andreas
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fDate :
31 May-3 Jun 1998
Abstract :
Several reversible wavelet transforms known to work well for image compression are introduced, and the classes of images for which the various transforms are effective are described. Then a multi-transform approach to reversible embedded image compression is proposed in which the decorrelating transform is selected on a per image basis using image-specific characteristics. Although the selection algorithm is extremely simple and has only modest computational requirements, results show that this new approach yields better compression performance than is possible with the use of a single fixed transform such as the S+P transform
Keywords :
computational complexity; correlation methods; data compression; image coding; wavelet transforms; S+P transform; compression performance; computational requirements; decorrelating transform; image-specific characteristics; multi-transform approach; reversible embedded image compression; reversible wavelet transforms; selection algorithm; single fixed transform; Codecs; Decorrelation; Design methodology; Image coding; Linear approximation; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.698766