Title :
An entropy-coded lattice vector quantizer for transform and subband image coding
Author :
Mohdyusof, Zulkalnain ; Fischer, Thomas R.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
A lattice-based vector quantizer (VQ) and noiseless code are proposed for transform and subband image coding. The quantization is simple to implement and no vector codebooks need be stored. The noiseless code enumerates lattice codevectors based on their (weighted) l1 norm. A software implementation is able to handle lattice codebooks of size 2256. The image coding performance is shown to be comparable or superior to the best encoding methods reported in the literature
Keywords :
entropy codes; image coding; lattice networks; transform coding; vector quantisation; entropy-coded lattice vector quantizer; lattice codevectors; lattice-based vector quantizer; noiseless code; performance; software implementation; subband image coding; transform image coding; Books; Decoding; Encoding; Image coding; Laplace equations; Lattices; Rate distortion theory; Redundancy; Transform coding; Vector quantization;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413385
