Generalized-cost-measure-based address-predictive vector quantization

Author

Poggi, Giovanni

Author_Institution

Dipartimento di Ingegneria Elettronica, Naples Univ., Italy

Volume

5

Issue

1

fYear

1996

fDate

1/1/1996 12:00:00 AM

Firstpage

49

Lastpage

55

Abstract

Address-predictive vector quantization (APVQ) exploits the interblock dependency by jointly encoding the addresses of the codewords associated with spatially close blocks. It profiles the same image quality as memoryless VQ for a much lesser bit rate (BR) and the same computational complexity. In the generalized-cost-measure-based APVQ, the two steps of the encoding process, namely, VQ and predictive address encoding, are carried out jointly by minimizing a generalized cost measure, which takes into account both the BR and the distortion. Computer simulations show that a significant improvement can be obtained with respect to APVQ in terms of both BR and distortion. Compared with memoryless VQ, a bit-rate reduction of almost 60% is obtained for the same image quality

Keywords

computational complexity; image coding; prediction theory; vector quantisation; APVQ; address predictive vector quantization; bit rate reduction; codewords; computational complexity; computer simulations; distortion; encoding; generalized cost measure based APVQ; image quality; interblock dependency; memoryless VQ; predictive address encoding; Bit rate; Computational complexity; Costs; Decoding; Encoding; Image coding; Image quality; Nonlinear distortion; Prediction algorithms; Vector quantization;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.481670

Filename

481670