AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (312.5 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline

A NAM Representation Method for Data Compression of Binary Images

Yunping ZHENG( )Chuanbo CHENSarem Mudar
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
School of Software Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Show Author Information

Abstract

A representation method using the non-symmetry and anti-packing model (NAM) for data compression of binary images is presented. The NAM representation algorithm is compared with the popular linear quadtree and run length encoding algorithms. Theoretical and experimental results show that the algorithm has a higher compression ratio for both lossy and lossless cases of binary images and better reconstructed quality for the lossy case.

References

【1】
【1】
 
 
Tsinghua Science and Technology
Pages 139-145

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
ZHENG Y, CHEN C, Mudar S. A NAM Representation Method for Data Compression of Binary Images. Tsinghua Science and Technology, 2009, 14(1): 139-145. https://doi.org/10.1016/S1007-0214(09)70020-3

139

Views

7

Downloads

7

Crossref

N/A

Web of Science

9

Scopus

19

CSCD

Received: 13 September 2007
Revised: 05 September 2008
Published: 01 February 2009
© Tsinghua University Press 2009