Title :
Adaptive wavelet packet based image coding with optimal entropy-constrained lattice vector quantizer (ECLVQ)
Author :
Kim, Won-Ha ; Nguyen, Truong ; Hu, Yu-Hen
Author_Institution :
Comput. Res. & Applications, Los Alamos Nat. Lab., NM, USA
fDate :
7/1/1998 12:00:00 AM
Abstract :
In this work, wavelet basis and source coding are jointly optimized, while specifying the source coding strategy as entropy-constrained lattice vector quantizer (ECLVQ). The presented approach differs from previous works in which the choice of wavelet basis is quasioptimal, but the quantizer set is optimally chosen
Keywords :
adaptive codes; entropy codes; image coding; optimisation; source coding; transform coding; vector quantisation; wavelet transforms; ECLVQ; adaptive wavelet packet based image coding; optimal entropy-constrained lattice vector quantizer; source coding; wavelet basis coding; Background noise; Computational modeling; Image coding; Lattices; Memory management; Noise level; Signal to noise ratio; Source coding; Table lookup; Wavelet packets;
Journal_Title :
Signal Processing, IEEE Transactions on
