Fractal color image compression using vector distortion measure
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
The Earth Mover's Distance under Transformation Sets
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Fractal Color Compression in the L*a*b* Uniform Color Space
DCC '98 Proceedings of the Conference on Data Compression
The Earth Mover''s Distance as a Metric for Image Retrieval
The Earth Mover''s Distance as a Metric for Image Retrieval
Slow motion replay of video sequences using fractal zooming
IEEE Transactions on Consumer Electronics
Speed-up in fractal image coding: comparison of methods
IEEE Transactions on Image Processing
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Fractal theory gained attention by mathematicians and engineers during the last two decades as a promising technique to obtain compression of signals. Fractals also provides interesting interpolation features that can be used to zoom images or to achieve slow motions of video sequences. This paper proposes a fractal coding technique based on Iterated Function Systems (IFS) to encode color image signals. IFS aim to exploit the redundancy given by the self-similarity always contained in natural images. The novelty of this work is on the use of Earth Mover's Distance (EMD) measure to identify similarities within color images. The results obtained show that the proposed approach allows achieving better quality in the decoded images than a classic fractal coding based on Root Mean Square Error (RMS) measure.