Dynamic codebook adaptive vector quantization for image coding

Jian Feng; Kwok Tung Lo

doi:10.1109/30.793416

Dynamic codebook adaptive vector quantization for image coding

Jian Feng
, Kwok Tung Lo

Department of Computer Science

Research output: Contribution to journal › Journal article › peer-review

2 Citations (Scopus)

Abstract

In this paper, a new image coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is proposed. DCAVQ is designed to minimize the transmission overhead and computational complexity of existing adaptive vector quantization systems. Simulation results using real images demonstrate both subjective and objective performance of decoded images are improved using the proposed method. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system.

Original language	English
Pages (from-to)	327-332
Number of pages	6
Journal	IEEE Transactions on Consumer Electronics
Volume	45
Issue number	2
DOIs	https://doi.org/10.1109/30.793416
Publication status	Published - 31 May 1999

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/30.793416

Cite this

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

abstract = "In this paper, a new image coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is proposed. DCAVQ is designed to minimize the transmission overhead and computational complexity of existing adaptive vector quantization systems. Simulation results using real images demonstrate both subjective and objective performance of decoded images are improved using the proposed method. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system.",

author = "Jian Feng and Lo, \{Kwok Tung\}",

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AU - Feng, Jian

AU - Lo, Kwok Tung

PY - 1999/5/31

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N2 - In this paper, a new image coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is proposed. DCAVQ is designed to minimize the transmission overhead and computational complexity of existing adaptive vector quantization systems. Simulation results using real images demonstrate both subjective and objective performance of decoded images are improved using the proposed method. 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 image coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is proposed. DCAVQ is designed to minimize the transmission overhead and computational complexity of existing adaptive vector quantization systems. Simulation results using real images demonstrate both subjective and objective performance of decoded images are improved using the proposed method. 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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UR - https://ieeexplore.ieee.org/document/793416/authors#authors

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DO - 10.1109/30.793416

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IS - 2

ER -

Dynamic codebook adaptive vector quantization for image coding

Abstract

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