Image compression using adaptive variable degree variable segment length chebyshev polynomials

Authors:
I. A. Al-Jarwan;M. J. Zemerly
Affiliations:
Department of Computer Engineering, Etisalat College of Engineering, Sharjah, United Arab Emirates;Department of Computer Engineering, Etisalat College of Engineering, Sharjah, United Arab Emirates
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

Citing 2
Cited 0

The JPEG still picture compression standard

Communications of the ACM - Special issue on digital multimedia systems
Numerical recipes in C (2nd ed.): the art of scientific computing

Numerical recipes in C (2nd ed.): the art of scientific computing

Quantified Score

Hi-index	0.00

Visualization

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.