Survey on Image Compression Techniques: Using CVIP Tools

Sujitha Devaraj; Kirubakaran Ezra; Kenanya Kasaraneni

Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III

Research Article

Survey on Image Compression Techniques: Using CVIP Tools

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@INPROCEEDINGS{10.1007/978-3-642-27317-9_31,
    author={Sujitha Devaraj and Kirubakaran Ezra and Kenanya Kasaraneni},
    title={Survey on Image Compression Techniques: Using CVIP Tools},
    proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III},
    proceedings_a={CCSIT PART  III},
    year={2012},
    month={11},
    keywords={Image Compression CR PSNR RMS error and CVIP tools},
    doi={10.1007/978-3-642-27317-9_31}
}

Sujitha Devaraj
Kirubakaran Ezra
Kenanya Kasaraneni
Year: 2012
Survey on Image Compression Techniques: Using CVIP Tools
CCSIT PART III
Springer
DOI: 10.1007/978-3-642-27317-9_31

Sujitha Devaraj¹^,*, Kirubakaran Ezra²^,*, Kenanya Kasaraneni¹^,*

1: Karunya University
2: Bharath Heavy Electricals Limited

*Contact email: sujitha_juliet@yahoo.com, e_kiru@yahoo.com, kenanyakumar@yahoo.com

Abstract

Due to the heavy increase of network traffic caused by multimedia data, compression and transmission of medical image for telemedicine applications have made the stringent demand on the quality of the reconstructed signal.In this paper, we are comparing different types of image compression techniques using CVIP tools by considering the values of Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR) and Root Mean Square (RMS) error.

Keywords: Image Compression CR PSNR RMS error and CVIP tools

Published: 2012-11-09

: http://dx.doi.org/10.1007/978-3-642-27317-9_31