Title :
Quantization performance in SPIHT and related wavelet image compression algorithms
Author :
Banister, Brian A. ; Fischer, Thomas R.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
fDate :
5/1/1999 12:00:00 AM
Abstract :
The set partitioning in hierarchical trees (SPIHT) image coding algorithm is observed to provide progressive classification of the wavelet coefficients. The achievable quantization performance of the induced classes is evaluated for entropy coded scalar quantization and trellis coded quantization, and is compared to the first-order rate distortion function.
Keywords :
data compression; entropy codes; image coding; quadtrees; quantisation (signal); rate distortion theory; transform coding; trellis codes; wavelet transforms; SPIHT algorithm; entropy coded scalar quantization; first-order rate distortion function; image coding; induced classes; progressive classification; quantization performance; set partitioning in hierarchical trees; trellis coded quantization; wavelet coefficients; wavelet image compression algorithms; Classification tree analysis; Encoding; Entropy; Histograms; Image coding; Partitioning algorithms; Quantization; Sorting; Testing; Wavelet coefficients;
Journal_Title :
Signal Processing Letters, IEEE
