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2007 | Vol. 78, nr 2 | 257-270
Tytuł artykułu

Block Prediction Vector Quantization for Grayscale Image Compression

Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a new image compression scheme based on vector quantization (VQ) that exploits the inter-block and intra-block correlations in grayscale images. The similar block prediction technique is designed to encode the image blocks by their similar neighboring encoded blocks. Besides, two codebooks are used in the proposed scheme to exploit the intra-block correlation within each image block. Experimental results show that the proposed scheme not only provides good image qualities but also cuts down the required bit rates.
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Rocznik
Strony
257-270
Opis fizyczny
bibliogr. 14 poz., fot., tab., wykr.
Twórcy
autor
autor
autor
  • Department of Computer Science and Information Engineering, Providence University, Taichung 433, Taiwan, R.O.C., ychu@pu.edu.tw
Bibliografia
  • [1] Linde, Y., Buzo, A., Gray, R. M.: An Algorithm for Vector Quantizer Design, IEEE Transactions on Communications, 28, 1980, 84-95.
  • [2] Gray, M.: Vector Quantization, IEEE Transactions on Information Theory, 28, 1982, 157-166.
  • [3] Nasrabadi, N. M., King, R. A.: Image Coding Using Vector Quantization: A Review, IEEE Transactions on Communications, 36(8), 1988, 957-971.
  • [4] Gersho, A., Gray, R. M.: Vector Quantization and Signal Compression, Boston, MA: Kluwer Academic Publishers, 1992.
  • [5] Lin, Y. C., Tai, S. C.: A Fast Linde-Buzo-Gray Algorithm in Image Vector Quantization, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 45(3), 1998, 432-435.
  • [6] Chang, C. C., Hu, Y. C.: A Fast Codebook Training Algorithm for Vector Quantization, IEEE Transactions on Consumer Electronics, 44(4), 1998, 1201-1208.
  • [7] Hsieh, C. H., Liu, Y. J.: Fast Search Algorithms for Vector Quantization of Images Using Multiple Triangle Inequalities and Wavelet Transform, IEEE Transactions on Image Processing, 9(3), 2000, 321-328.
  • [8] Lin, S. J., Chung, K. L., Chang, L. C.: An Improved Search Algorithm for Vector Quantization Using Mean Pyramid Structure, Pattern Recognition Letters, 22, 2001, 373-379.
  • [9] Mielikainen, J.: A Novel Full-Search Vector Quantization Algorithm Based on the Law of Cosines, IEEE Signal Processing Letters, 9(6), 2002, 175-176.
  • [10] Hu, Y. C., Chang, C. C.: An Effective Codebook Search Algorithm for Vector Quantization, Imaging Science Journal, 51(4), 2003, 221-234.
  • [11] Kim, T.: Side-Match and OverlapMatch Vector Quantizer for Images, IEEE Transactions on Image Processing, 1(2), 1992, 170-185.
  • [12] Chang, R. F., Chen, W. T.: Image Coding Using Variable-Rate Side-Match Finite-State Vector Quantization, IEEE Transactions on Image Processing, 2(1), 1993, 104-108.
  • [13] Chang, C. C., Chou, J. S., Chen, T. S.: A Predictive Image Coding Scheme Using a Smaller Codebook, Signal Processing: Image Communication, 12(1), 1998, 23-32.
  • [14] Zhu, C.: A New Subsampling-based Predictive Vector Quantization for Image Coding, Signal Processing: Image Communication, 17, 2002, 477-484.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS5-0010-0029
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