Image compression based on a family of stochastic models

DOI10.1016/J.SIGPRO.2006.05.008zbMath1186.94182OpenAlexW2008830031MaRDI QIDQ970686

R. Krishnamoorthi, Karthik Seetharaman

Publication date: 19 May 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2006.05.008

zbMATH Keywords

image compressionstochastic processBayesian approachfull range autoregressive modelseed values

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

A block-oriented restoration in gray-scale images using full range autoregressive model ⋮ ROI-BASED 3D HUMAN BRAIN MAGNETIC RESONANCE IMAGES COMPRESSION USING ADAPTIVE MESH DESIGN AND REGION-BASED DISCRETE WAVELET TRANSFORM

This page was built for publication: Image compression based on a family of stochastic models