A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf
.
FIRE: fractal indexing with robust extensions for image databases
2003
IEEE Transactions on Image Processing
As already documented in the literature, fractal image encoding is a family of techniques that achieves a good compromise between compression and perceived quality by exploiting the self-similarities present in an image. Furthermore, because of its compactness and stability, the fractal approach can be used to produce a unique signature, thus obtaining a practical image indexing system. Since fractal-based indexing systems are able to deal with the images in compressed form, they are suitable
doi:10.1109/tip.2003.811041
pmid:18237916
fatcat:64ekysqpbjeb3dafofzrxcb6ny