The use of block truncation coding in DPCM image coding

Author

Delp, Edward J. ; Mitchell, O. Robert

Author_Institution

Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

39

Issue

4

fYear

1991

fDate

4/1/1991 12:00:00 AM

Firstpage

967

Lastpage

971

Abstract

The results of using block truncation coding (BTC) in predictive differential pulse code modulation (DPCM) coding of images are presented. BTC is based on the use of a moment-preserving (MP) quantizer that is designed such that the quantizer preserves statistical moments of the input and output. It is shown that while it is theoretically impossible to preserve moments in the reconstructed image, as is normally done in BTC, the DPCM/BTC system works quite well at data rates of 1.18 b/pixel. The performance of the DPCM/BTC system is compared to classical minimum mean-square error quantizers. These methods are also compared in the presence of channel errors

Keywords

data compression; encoding; picture processing; pulse-code modulation; DPCM; block truncation coding; channel errors; image coding; moment preserving quantizer; predictive differential pulse code modulation; statistical moments; Adaptive signal processing; Biomedical signal processing; Decoding; Filters; Image coding; Predictive models; Pulse modulation; Quantization; Signal processing algorithms; Speech processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.80925

Filename

80925