Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization

Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization

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 templ...

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Veröffentlicht in:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Communications and Computer Sciences, 2009/12/01, Vol.E92.A(12), pp.3369-3371
Hauptverfasser: JUNG, Seung-Won, YOON, Yeo-Jin, NAM, Hyeong-Min, KO, Sung-Jea
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
block truncation coding
Blocking
Coding
Color
Image compression
Laplacian distribution
Lloyd quantization
Quantization
Template matching
Vector quantization
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Zusammenfassung: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 0.9dB in average compared to the conventional VQ-BTC algorithms.
ISSN:0916-8508
1745-1337
1745-1337
DOI:10.1587/transfun.E92.A.3369