Multiresolution progressive image transmission with storage and transmission time constraints

Wen Jyi Hwang; Rong Fuh Hwu; Maw Rong Leou

doi:10.1109/30.642381

Multiresolution progressive image transmission with storage and transmission time constraints

Wen Jyi Hwang^*, Rong Fuh Hwu, Maw Rong Leou

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (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 language	English
Pages (from-to)	1132-1142
Number of pages	11
Journal	IEEE Transactions on Consumer Electronics
Volume	43
Issue number	4
DOIs	https://doi.org/10.1109/30.642381
Publication status	Published - 1997
Externally published	Yes

Keywords

Dynamic programming
Progressive image transmission
Vector quantization
Wavelet transform

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/30.642381

Cite this

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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 = "Hwang, {Wen Jyi} and Hwu, {Rong Fuh} and Leou, {Maw Rong}",

year = "1997",

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volume = "43",

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journal = "IEEE Transactions on Consumer Electronics",

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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

Y1 - 1997

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

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Multiresolution progressive image transmission with storage and transmission time constraints

Abstract

Keywords

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