An improved interpolative vector quantization scheme using non-recursive adaptive decimation

P. W M Tsang; W. H. Tsang

doi:10.1016/0167-8655(95)00062-L

An improved interpolative vector quantization scheme using non-recursive adaptive decimation

P. W M Tsang
, W. H. Tsang

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

8 Citations (Scopus)

Abstract

In the proposed method, an approximation of the original image is constructed using a novel adaptive decimation algorithm, and the residual image is encoded using Vector Quantization. A relatively higher coding fidelity and lower bit-rate are attained. © 1995.

Original language	English
Pages (from-to)	1043-1050
Journal	Pattern Recognition Letters
Volume	16
Issue number	10
DOIs	https://doi.org/10.1016/0167-8655(95)00062-L
Publication status	Published - Oct 1995

Research Keywords

Adaptive decimation
Adaptive interpolation
Interpolative vector quantization

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10.1016/0167-8655(95)00062-L

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@article{d3a4ea317d4441aba5882de7cc7d9f3c,

title = "An improved interpolative vector quantization scheme using non-recursive adaptive decimation",

abstract = "In the proposed method, an approximation of the original image is constructed using a novel adaptive decimation algorithm, and the residual image is encoded using Vector Quantization. A relatively higher coding fidelity and lower bit-rate are attained. {\textcopyright} 1995.",

keywords = "Adaptive decimation, Adaptive interpolation, Interpolative vector quantization",

author = "Tsang, \{P. W M\} and Tsang, \{W. H.\}",

year = "1995",

month = oct,

doi = "10.1016/0167-8655(95)00062-L",

language = "English",

volume = "16",

pages = "1043--1050",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier B.V.",

number = "10",

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TY - JOUR

T1 - An improved interpolative vector quantization scheme using non-recursive adaptive decimation

AU - Tsang, P. W M

AU - Tsang, W. H.

PY - 1995/10

Y1 - 1995/10

N2 - In the proposed method, an approximation of the original image is constructed using a novel adaptive decimation algorithm, and the residual image is encoded using Vector Quantization. A relatively higher coding fidelity and lower bit-rate are attained. © 1995.

AB - In the proposed method, an approximation of the original image is constructed using a novel adaptive decimation algorithm, and the residual image is encoded using Vector Quantization. A relatively higher coding fidelity and lower bit-rate are attained. © 1995.

KW - Adaptive decimation

KW - Adaptive interpolation

KW - Interpolative vector quantization

UR - https://www.scopus.com/pages/publications/0029415977

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029415977&origin=recordpage

U2 - 10.1016/0167-8655(95)00062-L

DO - 10.1016/0167-8655(95)00062-L

M3 - RGC 21 - Publication in refereed journal

SN - 0167-8655

VL - 16

SP - 1043

EP - 1050

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 10

ER -

An improved interpolative vector quantization scheme using non-recursive adaptive decimation

Abstract

Research Keywords

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