<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Block truncation coding with entropy coding

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 1995Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Communications, volume 43, pages 1,677-1,685 (issn: 0090-6778,

Authors: Pasi Fränti; Olli Nevalainen;

doi: 10.1109/26.380217

Block truncation coding with entropy coding

- Summary
- Metrics

Abstract

Block truncation coding (BTC) is a simple and fast image compression algorithm which achieves a constant bit rate of 2.0 bits per pixel. The method is however suboptimal. We propose a modification of BTC in which the compression ratio is improved by coding the quantization data and the bit plane by arithmetic coding with an adaptive modelling scheme. The results compare favorable with other BTC variants. The bit rate for test image Lena is 1.53 bits per pixel with a mean square error of 16.51. >

Related Organizations

University of Turku
Finland

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average