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A Progressive Image Transmission Scheme Based on Block Truncation Coding

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2105))

Abstract

In this paper, a new progressive image transmission (PIT) method is presented. The proposed method is derived from block truncation coding (BTC), which is a simple and fast image compression method in the spatial domain. We add the progressive ability to the traditional BTC method so that it can transmit an image progressively. In this method, we firstly encode an image into a binary tree. The nodes of the binary tree is constructed by BTC and, moreover, in each phase of PIT, we transmit all nodes of the corresponding level of the binary tree to the receiver. The receiver can reconstruct a rough image according to the received messages. This rough image is similar to the original. Moreover, the similarity will be improved phase by phase. In the experiments, we compare the proposed method with the bit plane method (BPM) since both BPM and the proposed method belong to the same category of bipartite approach. The results show that the proposed method has the lower bit rate and the higher reconstructed image quality than those of BPM in each phase.

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References

  1. M. Accame and F. Granelli, “Hierarchical Progressive Image Coding Controlled by a Region Based Approach,” IEEE Transactions on Consumer Electronics, Vol. 45,No. 1, February 1999, pp. 13–20.

    Article  Google Scholar 

  2. A.K. Al-Asmari and A.S. Ahmed, “A Low Bit Rate Hybrid Coding Scheme for Progressive Image Transmission,” IEEE Transactions on Consumer Electronics, Vol. 44,No. 1, February 1998, pp. 226–234.

    Article  Google Scholar 

  3. C.C. Chang, J.C. Jau, and T.S. Chen, “A Fast Reconstruction Method for Transmitting Images Progressively,” IEEE Transactions on Consumer Electronics, Vol. 44,No. 4, November 1998, pp. 1225–1233.

    Article  Google Scholar 

  4. T.S. Chen and C.C. Chang, “Progressive Image Transmission Using Side Match Method,” Information Systems ad Technologies for Network Society, World Scientific Publishing Co. Pte, Ltd., Singapore, 1997, pp. 191–198.

    Google Scholar 

  5. E.J. Delp and O.R. Mitchell, “Image Date Compression Using Block Truncation Coding,” IEEE Transactions on Communications, Vol. COM-27,No. 9, September 1979, pp. 1335–1342.

    Article  Google Scholar 

  6. J. In, S. Shirani, and F. Kossentini, “On RD Optimized Progressive Image Coding Using JPEG,” IEEE Transactions on Image Processing, Vol. 8,No. 11, November 1999, pp. 1630–1638.

    Article  Google Scholar 

  7. J.H. Jiang, C.C. Chang, and T.S. Chen, “Selective Progressive Image Transmission Using Diagonal Sampling Technique,” Proceedings of International Symposium on Digital Media Information Base, Nara, Japan, 1997, pp. 59–67.

    Google Scholar 

  8. H. Gharavi, “Conditional Run-length and Variable-length Coding of Digital Pictures,” IEEE Transactions on Communications, Vol. 35, 1987, pp. 194–203.

    Article  Google Scholar 

  9. K.H. Tzou, “Progressive Image Transmission: a Review and Comparison of Techniques,” Optical Engineering, Vol. 26,No. 7, 1987, pp. 581–589.

    Google Scholar 

  10. I.H. Witten, R.M. Neal, and J.G. Cleary, “Arithmetic Coding for Data Compression,” Communications of the ACM, Vol. 30,No. 6, June 1987, pp. 520–540.

    Article  Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Chang, CC., Hsia, HC., Chen, TS. (2001). A Progressive Image Transmission Scheme Based on Block Truncation Coding. In: Kim, W., Ling, TW., Lee, YJ., Park, SS. (eds) The Human Society and the Internet Internet-Related Socio-Economic Issues. HSI 2001. Lecture Notes in Computer Science, vol 2105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47749-7_31

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  • DOI: https://doi.org/10.1007/3-540-47749-7_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42313-3

  • Online ISBN: 978-3-540-47749-5

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