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Proceedings Paper

Structure-based fractal image coding
Author(s): Bronislav Titkov; Anatoli Tikhotskij; Alexandr Myboroda; Helmut Buley
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Paper Abstract

An image coding scheme using partitioned iterated function systems (fractal codec) is presented. It extends the usual block-based algorithms with quadtree partitioning by splitting with arbitrarily shaped masks. Besides the general advantages of fractal coding such as very high compression and scalable decoding this gives provision for shape- adaptive coding. Furthermore the usage of orthogonal luminance transformations results in code suitable for browsing. The codec now uses up to 256 masks at each level of the quadtree partition (up to four levels) which may be applied twice. The mask set was experimentally optimized on a set of images. The high degree of flexibility is handled besides the usage of the known 'multidimensional nearest neighbor search' by an estimation of useful masks based on a block-structure analysis. Fractal referencing to parts of the image already coded allows for additional reduction of data rate. Controlling takes into account the compression efficiency of the different types of approximation. The bit stream of the encoded image is structured, pre-encoded and selectivity entropy coded by arithmetic coding. Remaining blocking artifacts are concealed by a generally applicable method called bending, which is designed to avoid blurring by filtering.

Paper Details

Date Published: 16 September 1996
PDF: 12 pages
Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); doi: 10.1117/12.251329
Show Author Affiliations
Bronislav Titkov, Television Research Institute (Russia)
Anatoli Tikhotskij, Television Research Institute (Russia)
Alexandr Myboroda, Television Research Institute (Russia)
Helmut Buley, Deutsche Telekom AG (Germany)


Published in SPIE Proceedings Vol. 2952:
Digital Compression Technologies and Systems for Video Communications
Naohisa Ohta, Editor(s)

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