Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.12 pp.3369-3371
- Publication Date
- 2009/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E92.A.3369
- Type of Manuscript
- Special Section LETTER (Special Section on Image Media Quality)
- Category
- Coding
Authors
Keyword
Latest Issue
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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
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@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},}
Copy
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 -
English
