Dynamic codebook adaptive vector quantization for image compression

Kwok Tung Lo; Shing Mo Cheng

Dynamic codebook adaptive vector quantization for image compression

Kwok Tung Lo, Shing Mo Cheng

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, a new coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is presented for image coding. The proposed system is intended to solve the overhead and complexity problem of existing adaptive vector quantization systems. Simulation results demonstrate that a gain of around 2dB in PSNR upon the universal vector quantizer, together with a better quality especially in the high contrast areas, is acquired. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system.

Original language	English
Title of host publication	IEEE International Conference on Communications
Publisher	IEEE
Pages	137-141
Number of pages	5
Publication status	Published - 1 Jan 1996
Event	Proceedings of the 1996 IEEE International Conference on Communications, ICC'96. Part 1 (of 3) - Dallas, TX, United States Duration: 23 Jun 1996 → 27 Jun 1996

Conference

Conference	Proceedings of the 1996 IEEE International Conference on Communications, ICC'96. Part 1 (of 3)
Country/Territory	United States
City	Dallas, TX
Period	23/06/96 → 27/06/96

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Dynamic codebook adaptive vector quantization for image compression",

abstract = "In this paper, a new coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is presented for image coding. The proposed system is intended to solve the overhead and complexity problem of existing adaptive vector quantization systems. Simulation results demonstrate that a gain of around 2dB in PSNR upon the universal vector quantizer, together with a better quality especially in the high contrast areas, is acquired. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system.",

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N2 - In this paper, a new coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is presented for image coding. The proposed system is intended to solve the overhead and complexity problem of existing adaptive vector quantization systems. Simulation results demonstrate that a gain of around 2dB in PSNR upon the universal vector quantizer, together with a better quality especially in the high contrast areas, is acquired. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system.

AB - In this paper, a new coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is presented for image coding. The proposed system is intended to solve the overhead and complexity problem of existing adaptive vector quantization systems. Simulation results demonstrate that a gain of around 2dB in PSNR upon the universal vector quantizer, together with a better quality especially in the high contrast areas, is acquired. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system.

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M3 - Conference article published in proceeding or book

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BT - IEEE International Conference on Communications

PB - IEEE

T2 - Proceedings of the 1996 IEEE International Conference on Communications, ICC'96. Part 1 (of 3)

Y2 - 23 June 1996 through 27 June 1996

ER -

Dynamic codebook adaptive vector quantization for image compression

Abstract

Conference

ASJC Scopus subject areas

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