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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Al-Jarwan, I. A., & Zemerly, M. J. (2005). Image compression using adaptive variable degree variable segment length Chebyshev polynomials. In Lecture Notes in Computer Science (Vol. 3540, pp. 1196–1207). Springer Verlag. https://doi.org/10.1007/11499145_121
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