DocumentCode
851910
Title
An algorithm for direct computation of 2-D linear prediction coefficients
Author
Kuduvalli, Gopinath R. ; Rangayyan, Rangaraj M.
Author_Institution
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Volume
41
Issue
2
fYear
1993
fDate
2/1/1993 12:00:00 AM
Firstpage
996
Lastpage
1000
Abstract
The authors present some simplifications to the method of computing two-dimensional (2-D) linear prediction coefficients (LPCs) directly from image data using an extension of the multichannel Burg algorithm. This simplification results from imposing the structure of the Burg algorithm. The method can also be used for computing prediction errors directly from the data. Results of applying the method to 2-D LP coding of images and 2-D autoregressive (AR) spectral estimation are presented
Keywords
image coding; linear predictive coding; spectral analysis; 2-D LP coding; 2-D linear prediction coefficients; 2D autoregressive spectral estimation; image data; multichannel Burg algorithm; prediction errors; Artificial intelligence; Digital filters; Digital signal processing; Equations; Error correction; Image coding; Linear predictive coding; Polynomials; Signal processing algorithms; Speech processing; Transfer functions; Two dimensional displays;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.193244
Filename
193244
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