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International Conference on Contemporary Computing

IC3 2012: Contemporary Computing pp 490–491Cite as

A Comparison of the DCT JPEG and Wavelet Image Compression Encoder for Medical Images

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 306))

Abstract

Compression is becoming very necessary in today’s time especially in the medical field. The reason for this is that the current analog film based medical images are very difficult to manage and can be easily damaged if exposed to sunlight. Digital images are more reliable and easier to manage but occupy a lot of computer space. Compressed medical images occupy less space and can be easily transmitted over the network in lesser amount of time. In this paper two algorithms have been discussed: The JPEG DCT image compression and the JPEG wavelet compression. The algorithms have been compared on the values obtained for the Mean Square Error and Peak Signal to Noise Ratio. The results show that wavelet compression gives better quality for the same compression ratio in comparison to DCT compression.

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Author information

Authors and Affiliations

  1. Section of Computer Engineering, University Polytechnic, India

    Farah Jamal Ansari & Aleem Ali

  2. Faculty of Engineering and Technology, Jamia Millia Islamia ( A Central University), New Delhi, 110025, India

    Farah Jamal Ansari & Aleem Ali

Authors
  1. Farah Jamal Ansari
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  2. Aleem Ali
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Editor information

Editors and Affiliations

  1. TASSL, Dept. of Electrical & Computer Engineering, Rutgers the State University of New Jersey, Brett Road, 08854-8058, Piscataway, NJ, USA

    Manish Parashar

  2. Mathematics and Computer Science Division, Argonne National Laboratory, 60439, Argonne, IL, USA

    Dinesh Kaushik

  3. School of Computer Science and Welsh Science Center, Cardiff University, 5 The Parade, CF24 3AA, Cardiff, UK

    Omer F. Rana

  4. Division of Physical Sciences and Engineering, 4700 King Abdullah University of Science and Technology, Room 3221, Al Jazri Building, 23955-6900, Thuwal, Makkah, Saudi Arabia

    Ravi Samtaney

  5. Department of Electrical and Computer Engineering, Stony Brook University, 11794, Stony Brook, New York, USA

    Yuanyuan Yang

  6. Faculty of Engineering and Information Technologies, School of Information Technologies, University of Sydney, 2006, Sydney, NSW, Australia

    Albert Zomaya

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ansari, F.J., Ali, A. (2012). A Comparison of the DCT JPEG and Wavelet Image Compression Encoder for Medical Images. In: Parashar, M., Kaushik, D., Rana, O.F., Samtaney, R., Yang, Y., Zomaya, A. (eds) Contemporary Computing. IC3 2012. Communications in Computer and Information Science, vol 306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32129-0_49

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  • DOI: https://doi.org/10.1007/978-3-642-32129-0_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32128-3

  • Online ISBN: 978-3-642-32129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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