Fractal image compression: theory and application
Fractal image compression: theory and application
IEEE Transactions on Computers
A range/domain approximation error-based approach for fractal image compression
IEEE Transactions on Image Processing
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Fractal image coding is a relatively recent technique based on the representation of an image by a map of self-similarities. In last years, most researchers focused their attention on the problem of speeding up the fractal coding process, while paying little attention to possible improvements of the objective and subjective image quality. In this paper, we investigate image quality measures, which could represent a reasonable alternative to the RMSE when finding a suitable map of similarities. Subjective assessments have been performed in order to compare performances of the selected quality metrics. Experimental results bear witness to the superiority of such a quality metric based on Fourier coefficients.