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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Al-Jarwan, I.A., Zemerly, M.J. (2005). Image Compression Using Adaptive Variable Degree Variable Segment Length Chebyshev Polynomials. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds) Image Analysis. SCIA 2005. Lecture Notes in Computer Science, vol 3540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499145_121
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DOI: https://doi.org/10.1007/11499145_121
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26320-3
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