Multiresolution progressive image transmission with storage and transmission time constraints

Wen-Jyi Hwang, Rong Fuh Hwu, Maw Rong Leou

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents novel multiresolution progressive image transmission (PIT) design algorithms with storage size and transmission time constraints. In the algorithms, the resolution at each stage and the storage size of the whole PIT systems can be controlled. Moreover, the transmission time at each stage or the accumulated transmission time up to the final stage can be specified before the design. The algorithms use the wavelet transform and the entropy-constrained vector quantization (ECVQ) design algorithm to construct PIT systems. The wavelet transform is used to achieve the multiresolution transmission. The ECVQ algorithm is employed to control the storage sizes and transmission times of the PIT systems. From the simulations, the algorithms are shown to be effective in implementing the PIT systems where the resolution, transmission time and storage size are important concerns.

Original languageEnglish
Pages (from-to)1132-1142
Number of pages11
JournalIEEE Transactions on Consumer Electronics
Volume43
Issue number4
DOIs
Publication statusPublished - 1997 Dec 1

Fingerprint

Image communication systems
Vector quantization
Wavelet transforms
Entropy

Keywords

  • Dynamic programming
  • Progressive image transmission
  • Vector quantization
  • Wavelet transform

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

Cite this

Multiresolution progressive image transmission with storage and transmission time constraints. / Hwang, Wen-Jyi; Hwu, Rong Fuh; Leou, Maw Rong.

In: IEEE Transactions on Consumer Electronics, Vol. 43, No. 4, 01.12.1997, p. 1132-1142.

Research output: Contribution to journalArticle

@article{615e817931254e0fa6bb3e1208e88e01,
title = "Multiresolution progressive image transmission with storage and transmission time constraints",
abstract = "This paper presents novel multiresolution progressive image transmission (PIT) design algorithms with storage size and transmission time constraints. In the algorithms, the resolution at each stage and the storage size of the whole PIT systems can be controlled. Moreover, the transmission time at each stage or the accumulated transmission time up to the final stage can be specified before the design. The algorithms use the wavelet transform and the entropy-constrained vector quantization (ECVQ) design algorithm to construct PIT systems. The wavelet transform is used to achieve the multiresolution transmission. The ECVQ algorithm is employed to control the storage sizes and transmission times of the PIT systems. From the simulations, the algorithms are shown to be effective in implementing the PIT systems where the resolution, transmission time and storage size are important concerns.",
keywords = "Dynamic programming, Progressive image transmission, Vector quantization, Wavelet transform",
author = "Wen-Jyi Hwang and Hwu, {Rong Fuh} and Leou, {Maw Rong}",
year = "1997",
month = "12",
day = "1",
doi = "10.1109/30.642381",
language = "English",
volume = "43",
pages = "1132--1142",
journal = "IEEE Transactions on Consumer Electronics",
issn = "0098-3063",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

TY - JOUR

T1 - Multiresolution progressive image transmission with storage and transmission time constraints

AU - Hwang, Wen-Jyi

AU - Hwu, Rong Fuh

AU - Leou, Maw Rong

PY - 1997/12/1

Y1 - 1997/12/1

N2 - This paper presents novel multiresolution progressive image transmission (PIT) design algorithms with storage size and transmission time constraints. In the algorithms, the resolution at each stage and the storage size of the whole PIT systems can be controlled. Moreover, the transmission time at each stage or the accumulated transmission time up to the final stage can be specified before the design. The algorithms use the wavelet transform and the entropy-constrained vector quantization (ECVQ) design algorithm to construct PIT systems. The wavelet transform is used to achieve the multiresolution transmission. The ECVQ algorithm is employed to control the storage sizes and transmission times of the PIT systems. From the simulations, the algorithms are shown to be effective in implementing the PIT systems where the resolution, transmission time and storage size are important concerns.

AB - This paper presents novel multiresolution progressive image transmission (PIT) design algorithms with storage size and transmission time constraints. In the algorithms, the resolution at each stage and the storage size of the whole PIT systems can be controlled. Moreover, the transmission time at each stage or the accumulated transmission time up to the final stage can be specified before the design. The algorithms use the wavelet transform and the entropy-constrained vector quantization (ECVQ) design algorithm to construct PIT systems. The wavelet transform is used to achieve the multiresolution transmission. The ECVQ algorithm is employed to control the storage sizes and transmission times of the PIT systems. From the simulations, the algorithms are shown to be effective in implementing the PIT systems where the resolution, transmission time and storage size are important concerns.

KW - Dynamic programming

KW - Progressive image transmission

KW - Vector quantization

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=0031273291&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031273291&partnerID=8YFLogxK

U2 - 10.1109/30.642381

DO - 10.1109/30.642381

M3 - Article

AN - SCOPUS:0031273291

VL - 43

SP - 1132

EP - 1142

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

SN - 0098-3063

IS - 4

ER -