The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
블록 절단 코딩(BTC)은 일정한 출력 비트 전송률을 생성하는 효율적인 이미지 압축 알고리즘입니다. 컬러 이미지 압축의 경우 VQ(벡터 양자화)를 활용하여 코딩 효율성을 향상시킵니다. 본 편지에서는 템플릿 매칭과 LQ(Lloyd Quantization)를 사용하여 개선된 VQ 기반 BTC(VQ-BTC) 알고리즘을 제안합니다. 실험 결과, 제안하는 방법은 기존 VQ-BTC 알고리즘에 비해 PSNR이 평균 0.9dB 향상되는 것을 보여주었다.
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부
Seung-Won JUNG, Yeo-Jin YOON, Hyeong-Min NAM, Sung-Jea KO, "Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 12, pp. 3369-3371, December 2009, doi: 10.1587/transfun.E92.A.3369.
Abstract: Block truncation coding (BTC) is an efficient image compression algorithm that generates a constant output bit-rate. For color image compression, vector quantization (VQ) is exploited to improve the coding efficiency. In this letter, we propose an improved VQ based BTC (VQ-BTC) algorithm using template matching and Lloyd quantization (LQ). The experimental results show that the proposed method improves the PSNR by 0.9 dB in average compared to the conventional VQ-BTC algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.3369/_p
부
@ARTICLE{e92-a_12_3369,
author={Seung-Won JUNG, Yeo-Jin YOON, Hyeong-Min NAM, Sung-Jea KO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization},
year={2009},
volume={E92-A},
number={12},
pages={3369-3371},
abstract={Block truncation coding (BTC) is an efficient image compression algorithm that generates a constant output bit-rate. For color image compression, vector quantization (VQ) is exploited to improve the coding efficiency. In this letter, we propose an improved VQ based BTC (VQ-BTC) algorithm using template matching and Lloyd quantization (LQ). The experimental results show that the proposed method improves the PSNR by 0.9 dB in average compared to the conventional VQ-BTC algorithms.},
keywords={},
doi={10.1587/transfun.E92.A.3369},
ISSN={1745-1337},
month={December},}
부
TY - JOUR
TI - Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3369
EP - 3371
AU - Seung-Won JUNG
AU - Yeo-Jin YOON
AU - Hyeong-Min NAM
AU - Sung-Jea KO
PY - 2009
DO - 10.1587/transfun.E92.A.3369
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2009
AB - Block truncation coding (BTC) is an efficient image compression algorithm that generates a constant output bit-rate. For color image compression, vector quantization (VQ) is exploited to improve the coding efficiency. In this letter, we propose an improved VQ based BTC (VQ-BTC) algorithm using template matching and Lloyd quantization (LQ). The experimental results show that the proposed method improves the PSNR by 0.9 dB in average compared to the conventional VQ-BTC algorithms.
ER -