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Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization
- Issue Date
- 12월-2009
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- block truncation coding; template matching; Laplacian distribution; Lloyd quantization
- Citation
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E92A, no.12, pp.3369 - 3371
- Indexed
- SCIE
SCOPUS
- Volume
- E92A
- Number
- 12
- Start Page
- 3369
- End Page
- 3371
- ISSN
- 0916-8508
- 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 ail 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.
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