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
fDate :
2/1/1993 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
