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Image Compression Using Adaptive Variable Degree Variable Segment Length Chebyshev Polynomials

  • I. A. Al-Jarwan
  • M. J. Zemerly
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

In this paper, a new lossy image compression technique based on adaptive variable degree variable segment length Chebyshev polynomials is proposed. The main advantage of this method over JPEG is that it has a direct individual error control where the maximum error in gray level difference between the original and the reconstructed images can be specified by the user. This is a requirement for medical applications where near lossless quality is needed. The compression is achieved by representing the gray level variations across any determined section of a row or column of an image by the coefficients of a Chebyshev polynomial. The performance of the method was evaluated on a number of test images and using some quantitative measures compared to the well known JPEG compression techniques.

Keywords

Reconstructed Image Compression Ratio Chebyshev Polynomial Image Compression Compression Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • I. A. Al-Jarwan
    • 1
  • M. J. Zemerly
    • 1
  1. 1.Department of Computer EngineeringEtisalat College of EngineeringSharjahUnited Arab Emirates

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