AN ALGORITHM FOR DIRECT COMPUTATION OF 2-D LINEAR PREDICTION COEFFICIENTS

被引：7

作者：

KUDUVALLI, GR

RANGAYYAN, RM

机构：

[1] Department of Electrical and Computer Engineering, University of Calgary, Calgary

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1993年 / 41卷 / 02期

关键词：

D O I：

10.1109/78.193244

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present some simplifications to the method of computing two-dimensional (2-D) linear prediction (LP) coefficients (LPC's) directly from the image data using an extension of the multichannel version of the Burg algorithm presented by Therrien and El-Shaer, This simplification results from forcing the structure of the 2-D autocorrelation matrices on the multichannel version of the Burg algorithm. In addition to computing the 2-D LPC's, the method can be used for the computation of prediction errors directly from the data. Results of application of the method to 2-D LP coding of images and 2-D autoregressive (AR) spectral estimation are presented.

引用

页码：996 / 1000

页数：5

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