Title :
Wavelet transform and bit-plane encoding
Author :
Cai, Hongsheng ; Andani, Gagan Lvfirch
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Vermont Univ., Burlington, VT, USA
Abstract :
In this work a new approach for wavelet transform (WT) based image compression is presented. Employing a simple region representation coding scheme previously used with bi-level facsimile pictures, the wavelet transform coefficients are first quantized using scalar quantization and then a lossless auto-adaptive block bit-plane encoding technique is applied to exploit the intra-subband correlation. Simulation at low bit-rates generates a compression ratio comparable to that obtained with vector quantization applied to the wavelet transform coefficients
Keywords :
adaptive codes; block codes; correlation methods; data compression; image coding; image representation; image segmentation; transform coding; wavelet transforms; bit-plane encoding; image compression; intra-subband correlation; lossless auto-adaptive block bit-plane encoding technique; region representation coding; scalar quantization; wavelet transform; Block codes; Computer science; Encoding; Facsimile; Frequency domain analysis; Image coding; Statistics; Vector quantization; Wavelet domain; Wavelet transforms;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.531432