학술논문
Finite state lattice vector quantization for wavelet-based image coding
Document Type
Conference
Source
1997 IEEE International Symposium on Circuits and Systems (ISCAS) Circuits and systems Circuits and Systems (ISCAS), 1997 IEEE International Symposium on. 2:1137-1140 vol.2 1997
Subject
Language
Abstract
It is well known that there exists strong energy correlation between various subbands of a real-world image. A new powerful technique of Finite State Vector Quantization (FSVQ) has been introduced to fully exploit the self-similarity of the image in wavelet domain across different scales. Lattices in R/sup N/ have considerable structure, and hence, Lattice VQ offers the promise of design simplicity and reduced complexity encoding. The combination of FSVQ and LVQ gives rise to the so-called FSLVQ, which is proved to be successful in exploiting the energy correlation across scales and is simple enough in implementation.