Title :
Wavelet coding with fractal for image sequences
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
Based on the underlying performance of fractals and DWT, one new method using fractal-based self-quantization coding to code different subband coefficients of DWT is presented. Within this method we define a kind of mapping structure for parent-child nodes of wavelet coefficients so that finer coefficients can be fractal encoded according to the successive coarser ones. On the other hand, with respect to the HVS model, we assign different error thresholds to different scales and different shape of range blocks to different orientations of the same scale, by which the perceptually lossless high compression ratio can be achieved and the matching process can be quickened dramatically
Keywords :
data compression; discrete wavelet transforms; fractals; image coding; image sequences; DWT; discrete wavelet transform; error thresholds; fractal; image compression; image matching; image sequences; self-quantization coding; subband coefficients; wavelet coding; wavelet coefficients; Discrete wavelet transforms; Encoding; Fractals; Geometry; Image coding; Image sequences; Shape; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925446