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Evaluation of Huffman-Code and B-Code Algorithms for Image Compression Standards

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 436))

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Abstract

To reduce the quantity of data without excessively reducing the quality of the multimedia data is called compression. Compressed multimedia data are faster for transition and storing as compared to the original uncompressed multimedia data. For JPEG and JPEG 2000 images there are various techniques and standards for data compression. These standards consist of different functions such as color space conversion and entropy coding. Huffman codes and B-codes are normally used in the entropy coding phase.

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References

  1. Anitha, S.: Lossless image compression and decompression using Huffman coding. Int. Res. J. Eng. Technol. (IRJET) 2(1), 240–247 (2015)

    Google Scholar 

  2. Arti: Performance analysis of Huffman coding algorithm. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(5), 615–619 (2013)

    Google Scholar 

  3. Farid, H.: Fundamentals of Image Processing (2010)

    Google Scholar 

  4. Gomathi, K.V., Lotus, R.: Digital image compression techniques. IJRET: Int. J. Res. Eng. Technol. 3(10), 285–290 (2014)

    Google Scholar 

  5. Gonzalez, C.R., Woods, E.R.: The encoding process. Digital Image Processing, 2nd edn., pp. 265–267. Printice Hall (2002)

    Google Scholar 

  6. http://www.en.wikipedia.org/wiki/Entropy_encoding

  7. http://www.en.wikipedia.org/wiki/Huffman_coding

  8. http://www.en.wikipedia.org/wiki/Lossless_JPEG

  9. http://www.howstuffworks.com/file-compression.htm

  10. http://www.huffmancoding.com, Wikipedia, the free encyclopedia

  11. http://www.JPEG.org, Wikipedia, the free encyclopedia

  12. Mathur, K.M., Loonker, S., Saxena, D.: Lossless Huffman coding technique for image compression and reconstruction using binary trees. Int. J. Comp. Tech. Appl. 3(1), 76–79 (2012)

    Google Scholar 

  13. Nelson, M., Gailly, L.J.: The Data Compression Book, 2nd edn. (1995)

    Google Scholar 

  14. Padmaja, G.M., Nirupama, P.: Analysis of various image compression techniques. ARPN J. Sci. Technol. 2(4), 371–376 (2012)

    Google Scholar 

  15. Rabbani, M., Jones, W.P.: Digital Image Compression Techniques (1991)

    Google Scholar 

  16. Shahbahrami, A., Bahrampour, R., Rostami, M., Mobarhan, M.A.: Evaluation of Huffman and arithmetic algorithms for multimedia compression standards. Int. J. Comput. Sci. Eng. Appl. (IJCSEA) 1(4), 34–47 (2011)

    Google Scholar 

  17. Sharma, M.: Compression using Huffman coding. IJCSNS Int. J. Comput. Sci. Netw. Secur. 10(5), 133–141 (2010)

    Google Scholar 

  18. Singh, A., Gahlawat, M.: Image compression and its various techniques. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(6), 650–654 (2013)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Uttarakhand Technical University, Dehradun, India

    Chanda

  2. IRDE (DEAL), Dehradun, India

    Sunita Singh

  3. DAV (PG) College, Dehradun, India

    U. S. Rana

Authors
  1. Chanda
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  2. Sunita Singh
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  3. U. S. Rana
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Corresponding author

Correspondence to Chanda .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Chanda, Sunita Singh, Rana, U.S. (2016). Evaluation of Huffman-Code and B-Code Algorithms for Image Compression Standards. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_88

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_88

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

  • eBook Packages: EngineeringEngineering (R0)

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