Low bit rate color image coding with adaptive encoding of wavelet co-efficients

Steven Meadows; Sunanda Mitra

Low bit rate color image coding with adaptive encoding of wavelet co-efficients

Steven Meadows, Sunanda Mitra

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This paper reports the performance of the embedded zerotree wavelet (EZW) using successive-approximation quantization and an adaptive arithmetic coding for effective reduction in bit rates while maintaining high visual quality of reconstructed color images. For 24 bit color images, excellent visual quality is maintained up to a bit rate reduction to approximately 0.48 bpp by EZW yielding a compression ratio (CR) of 50:1. Further bit rate reduction to 0.375 bpp results in visible degradation by EZW as well as by a recently developed adaptive vector quantizer, namely, AFLC-VQ.

Original language	English
Pages (from-to)	455
Number of pages	1
Journal	Data Compression Conference Proceedings
State	Published - 1997
Event	Proceedings of the 1997 Data Compression Conference, DCC'97 - Snowbird, UT, USA Duration: Mar 25 1997 → Mar 27 1997

Fingerprint Dive into the research topics of 'Low bit rate color image coding with adaptive encoding of wavelet co-efficients'. Together they form a unique fingerprint.

Cite this

@article{84c4e2d5719a4722bafefca100944c96,

title = "Low bit rate color image coding with adaptive encoding of wavelet co-efficients",

abstract = "This paper reports the performance of the embedded zerotree wavelet (EZW) using successive-approximation quantization and an adaptive arithmetic coding for effective reduction in bit rates while maintaining high visual quality of reconstructed color images. For 24 bit color images, excellent visual quality is maintained up to a bit rate reduction to approximately 0.48 bpp by EZW yielding a compression ratio (CR) of 50:1. Further bit rate reduction to 0.375 bpp results in visible degradation by EZW as well as by a recently developed adaptive vector quantizer, namely, AFLC-VQ.",

author = "Steven Meadows and Sunanda Mitra",

year = "1997",

language = "English",

pages = "455",

journal = "Data Compression Conference Proceedings",

issn = "1068-0314",

}

TY - JOUR

T1 - Low bit rate color image coding with adaptive encoding of wavelet co-efficients

AU - Meadows, Steven

AU - Mitra, Sunanda

PY - 1997

Y1 - 1997

N2 - This paper reports the performance of the embedded zerotree wavelet (EZW) using successive-approximation quantization and an adaptive arithmetic coding for effective reduction in bit rates while maintaining high visual quality of reconstructed color images. For 24 bit color images, excellent visual quality is maintained up to a bit rate reduction to approximately 0.48 bpp by EZW yielding a compression ratio (CR) of 50:1. Further bit rate reduction to 0.375 bpp results in visible degradation by EZW as well as by a recently developed adaptive vector quantizer, namely, AFLC-VQ.

AB - This paper reports the performance of the embedded zerotree wavelet (EZW) using successive-approximation quantization and an adaptive arithmetic coding for effective reduction in bit rates while maintaining high visual quality of reconstructed color images. For 24 bit color images, excellent visual quality is maintained up to a bit rate reduction to approximately 0.48 bpp by EZW yielding a compression ratio (CR) of 50:1. Further bit rate reduction to 0.375 bpp results in visible degradation by EZW as well as by a recently developed adaptive vector quantizer, namely, AFLC-VQ.

UR - http://www.scopus.com/inward/record.url?scp=0030699598&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0030699598

SP - 455

JO - Data Compression Conference Proceedings

JF - Data Compression Conference Proceedings

SN - 1068-0314

Y2 - 25 March 1997 through 27 March 1997

ER -