Title :
Lossless image compression with wavelet transform
Author_Institution :
Department of Computer Studies, Loughborough University, Loughborough LE11 3TU United Kingdom
Abstract :
The research work presented in this paper explores new alternatives for lossless image compression where the entropy coding is applied to the wavelet transform coefficients rather than pixels. The advantage of using wavelet transform prior to entropy coding is that the statistical properties of the resulting coefficients can be analysed and exploited before the model is established for arithmetic coding. Experiments show that the proposed algorithm achieves competitive performances to that of JPEG.
Keywords :
Algorithm design and analysis; Image coding; Mathematical model; Prediction algorithms; Probability distribution; Wavelet transforms;
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6