A technique using peano scanning for vector quantization with variable codevector dimensions

Shen-Chuan Tai, Wen Jan Chen, I. Sheng Kuo

Research output: Contribution to journalArticle

Abstract

In this paper, a new direction for Vector Quantization is proposed. To reduce the blocky effect and edge degradation, we combine Peano Scan and VQ (PSVQ) to achieve this goal in our implementation. All training images (512×512) are reordered to 1D space by efficient Peano Scan in advance. We classify 4 different partition segments including 1×8, 1×16, 1×32, and 1×64 dimensions according to the difference between the maximum and the minimum intensities in the 1D segment. Simulation results show that the performance of the suggested scheme is superior to the normal VQ scheme in the sense of PSNR, and both the edge degradation and the blocky effect is reduced.

Original languageEnglish
Pages (from-to)665-668
Number of pages4
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Volume23
Issue number5
DOIs
Publication statusPublished - 2000 Jan 1

Fingerprint

Vector quantization
Scanning
Degradation

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

@article{b7ec8fcf806349ed97a530cb139a6f9e,
title = "A technique using peano scanning for vector quantization with variable codevector dimensions",
abstract = "In this paper, a new direction for Vector Quantization is proposed. To reduce the blocky effect and edge degradation, we combine Peano Scan and VQ (PSVQ) to achieve this goal in our implementation. All training images (512×512) are reordered to 1D space by efficient Peano Scan in advance. We classify 4 different partition segments including 1×8, 1×16, 1×32, and 1×64 dimensions according to the difference between the maximum and the minimum intensities in the 1D segment. Simulation results show that the performance of the suggested scheme is superior to the normal VQ scheme in the sense of PSNR, and both the edge degradation and the blocky effect is reduced.",
author = "Shen-Chuan Tai and Chen, {Wen Jan} and Kuo, {I. Sheng}",
year = "2000",
month = "1",
day = "1",
doi = "10.1080/02533839.2000.9670587",
language = "English",
volume = "23",
pages = "665--668",
journal = "Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers",
issn = "0253-3839",
publisher = "Chinese Institute of Engineers",
number = "5",

}

TY - JOUR

T1 - A technique using peano scanning for vector quantization with variable codevector dimensions

AU - Tai, Shen-Chuan

AU - Chen, Wen Jan

AU - Kuo, I. Sheng

PY - 2000/1/1

Y1 - 2000/1/1

N2 - In this paper, a new direction for Vector Quantization is proposed. To reduce the blocky effect and edge degradation, we combine Peano Scan and VQ (PSVQ) to achieve this goal in our implementation. All training images (512×512) are reordered to 1D space by efficient Peano Scan in advance. We classify 4 different partition segments including 1×8, 1×16, 1×32, and 1×64 dimensions according to the difference between the maximum and the minimum intensities in the 1D segment. Simulation results show that the performance of the suggested scheme is superior to the normal VQ scheme in the sense of PSNR, and both the edge degradation and the blocky effect is reduced.

AB - In this paper, a new direction for Vector Quantization is proposed. To reduce the blocky effect and edge degradation, we combine Peano Scan and VQ (PSVQ) to achieve this goal in our implementation. All training images (512×512) are reordered to 1D space by efficient Peano Scan in advance. We classify 4 different partition segments including 1×8, 1×16, 1×32, and 1×64 dimensions according to the difference between the maximum and the minimum intensities in the 1D segment. Simulation results show that the performance of the suggested scheme is superior to the normal VQ scheme in the sense of PSNR, and both the edge degradation and the blocky effect is reduced.

UR - http://www.scopus.com/inward/record.url?scp=0034268603&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034268603&partnerID=8YFLogxK

U2 - 10.1080/02533839.2000.9670587

DO - 10.1080/02533839.2000.9670587

M3 - Article

VL - 23

SP - 665

EP - 668

JO - Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers

JF - Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers

SN - 0253-3839

IS - 5

ER -