Memory efficient scalable line-based image coding

Erik Ordentlich; David Taubman; Marcelo Weinberger; Gadiel Seroussi; Michael Marcellin

Memory efficient scalable line-based image coding

Erik Ordentlich, David Taubman, Marcelo Weinberger, Gadiel Seroussi, Michael Marcellin

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.

Original language	English (US)
Title of host publication	HP Laboratories Technical Report
Publisher	Hwelett Packard Lab
Pages	1-12
Number of pages	12
Edition	HPL-1999-1
State	Published - Jan 1999
Externally published	Yes

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Networks and Communications

Cite this

@inbook{ef38dd367f1a46d9999de60b17e8a55d,

title = "Memory efficient scalable line-based image coding",

abstract = "We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.",

author = "Erik Ordentlich and David Taubman and Marcelo Weinberger and Gadiel Seroussi and Michael Marcellin",

year = "1999",

month = jan,

language = "English (US)",

pages = "1--12",

booktitle = "HP Laboratories Technical Report",

publisher = "Hwelett Packard Lab",

edition = "HPL-1999-1",

}

TY - CHAP

T1 - Memory efficient scalable line-based image coding

AU - Ordentlich, Erik

AU - Taubman, David

AU - Weinberger, Marcelo

AU - Seroussi, Gadiel

AU - Marcellin, Michael

PY - 1999/1

Y1 - 1999/1

N2 - We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.

AB - We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.

UR - https://www.scopus.com/pages/publications/0032761277

UR - https://www.scopus.com/inward/citedby.url?scp=0032761277&partnerID=8YFLogxK

M3 - Chapter

AN - SCOPUS:0032761277

SP - 1

EP - 12

BT - HP Laboratories Technical Report

PB - Hwelett Packard Lab

ER -

Memory efficient scalable line-based image coding

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this