DocumentCode
2251252
Title
Multiple model encoding of images
Author
Pentland, Alex
Author_Institution
Media Lab., MIT, Cambridge, MA, USA
fYear
1993
fDate
1-3 Nov 1993
Firstpage
1509
Abstract
Images are fundamentally inhomogeneous and nonlinear, yet most coding has been based on homogeneous processing using linear techniques. This paper describes our progress to develop a framework for nonlinear, multiscale, inhomogeneous coding, and describe the particular research efforts within the MIT Perceptual Computing Section that are beginning to fill out this framework
Keywords
encoding; image coding; transforms; K-L transform; Massachusetts Institute of Technology; homogeneous processing; image coding; inhomogeneous coding; inhomogeneous images; linear techniques; minimum description length; multiple model encoding; nonlinear images; nonlinear multiscale coding; Frequency estimation; Histograms; Image coding; Image resolution; Laboratories; Nonhomogeneous media; Probability density function; Roads; Statistics; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-4120-7
Type
conf
DOI
10.1109/ACSSC.1993.342361
Filename
342361
Link To Document