This paper proposes an evaluation of various fractal compression techniques, dedicated to radiographic images of weld defects. Fractal image compression, based on concepts of iterated function systems (IFS), consists of partitioning blocks and approximates each block by a transformed codebook block derived from the image itself. Each transformation, described by a linear term and a translation term, maps a block onto another block with a different resolution and composes the coded information. For the purpose of this work, we selected four well-known fractal compression techniques employing different partitioning schemes: Fixed size square block (Jacquin’s method), Quadtree decomposition, Triangle subdivision, Delaunay triangulation. Preliminary results obtained on radiographic images of weld defects; show that the Jacquin’s method seems to give the best compromise between coding performance and image quality.
5th Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2012)
Congress
2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012), 12-14 October 2012, Istanbul, Turkey
Pages
45-50
Topics
Codecs and Compression Systems Information Theory and Coding
ISSN
2227-331X
DOI
BibTeX
@inproceedings{435CCA2012,
title={Comparison of fractal compression methods impact on radiographic images of weld defects},
author={Faiza Mekhalfa, and Daoud Berkani},
booktitle={2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012)},
year={2012},
pages={45-50},
doi={}},
organization={Mosharaka for Research and Studies}
}
