Method of data reduction by means of fractal image coding

Image analysis – Image compression or coding – Transform coding

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382240, G06K 936, G06K 946

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061636282

ABSTRACT:
In a method of data reduction of a luminance and/or chrominance signal of a digital picture signal by means of fractal image coding, in which method each image of the luminance/chrominance signal is divided into range blocks of n.times.n pixels each, in which a domain block is searched for each range block, which domain block is imageable on the range block with a minimal deviation while using a transformation function, which domain blocks have a larger size than the range blocks, and in which information on the transformation functions is transmitted, from which information the image data are regained at the receiver end in an iterative process, the search is facilitated in that a digital search tree strategy is employed in the search for that domain block which is imageable on a range block with a minimal deviation while using a transformation function.

REFERENCES:
patent: 5497435 (1996-03-01), Berger
"Fractal Image Coding and Magnification Using Invariant Features", by Gotting et al., Fractals, vol. 5, Supplementary Issue (Apr. 1997) pp. 65-74.
"Multi-Resolution Tree Search for Iterated Transformation Theory-Based Coding", by M. Kawamata et al., IEEE, Nov. 1994, pp. 137-141.
Senile Depth First Search Applied to Iterated Function Systems', IBM Technical Disclosure Bulletin, Jan. 1992, vol. 34, No. 8., pp. 275-277.
Image Coding Based on a Fractal Theory of Iterated Contractive Image Transformation, Arnaud E. Jacquin, IEEE Transactions on Image Processing, vol. 1, (1), pp. 18-30, Jan. 1992.
"A Fractal Theory of Iterated Markov Operators with Applications to Digital Image Coding", by Arnaud E. Jacquin, Thesis Georgia Institute of Technology, Aug. 1989.
"Multidimensional Binary Search Trees in Data base Applications", by Jon Bentley, reprinted from IEEE Transactions on Software Engineering, vol. SE-5, No. 4, Jul. 1989, pp. 333-340.

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