An estimation of low bound for two-dimensional image compression coding

  • Huijuan Li
  • , Qingdong Yao
  • , Jae Ho Choi
  • , Hoon Sung Kwak

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Based on Shannon information and random field theories, a low bound estimation is developed in this paper for the transmitting bit rate in image compression coding. Taking the correlation coefficients between the adjacent pixels as parameters, a relation between the signal-to-noise ratio and the estimated low bound of image transmitting bit rate is obtained. As examples, several experiment results are utilized to verify the rationality of the presented results by applying some conventional compression coding methods to two standard pictures.

Original languageEnglish
Title of host publicationImage Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings
EditorsRoland T. Chin, Ting-Chuen Pong, Avi C. Naiman, Horace H.S. Ip
PublisherSpringer Verlag
Pages495-496
Number of pages2
ISBN (Print)9783540606970
DOIs
StatePublished - 1995
Event3rd International Computer Science Conference, ICSC 1995 - Hong Kong, Hong Kong
Duration: 1995.12.111995.12.13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1024
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Computer Science Conference, ICSC 1995
Country/TerritoryHong Kong
CityHong Kong
Period95.12.1195.12.13

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