Image compression by vector quantization of muliresolution decompositions

DOI10.1016/0167-2789(92)90241-EzbMath0800.94160OpenAlexW1986437016MaRDI QIDQ687813

Christopher M. Brislawn, Jonathan N. Bradley

Publication date: 26 January 1994

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-2789(92)90241-e

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) General harmonic expansions, frames (42C15) Source coding (94A29)

Uses Software

• NPSOL

Cites Work

• A theory for multiresolution signal decomposition: the wavelet representation
• Orthonormal bases of compactly supported wavelets
• Asymptotic quantization error of continuous signals and the quantization dimension
• Wavelet based approximation in the optimal control of distributed parameter systems
• Bit allocation and encoding for vector sources
• Asymptotically optimal block quantization
• Least squares quantization in PCM