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A fast fractal decoding algorithm based on the selection of an initial image

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3 Author(s)
Yong Ho Moon ; Digital Media Syst. Lab., Samsung Electron. Co Ltd, Kyungki, South Korea ; Hyung Soon Kim ; Jae Ho Kim

In this correspondence, we show that the number of iterations required for the convergence of the fractal image decoding algorithm can be reduced by selecting a suitable initial image. We consider fractal decoding to have two components, namely, “DC” and “AC”. Our initial image is an approximation of the attractor of DC decoding, which is a good estimation of the “range-averaged” image, i.e., the image obtained by replacing all pixel intensities in a given block by the mean value of the block. From the simulation, it is demonstrated that the decoding speed is greatly improved

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Image Processing, IEEE Transactions on  (Volume:9 ,  Issue: 5 )