Abstract: A way of improvement of compression ratio of fractal image compression is proposed in this paper. The improvement of compression rates is done by applying the lossless compression techniques ...
Fractal image compression techniques exploit the inherent self-similarity found in images by utilising iterated function systems (IFS) and affine transformations to represent images in a compressed ...
Abstract: Fractal Image compression (FIC) is a new compression technique in the spatial domain. It is based on block based image compression technique which, detects and codes the existing ...
The purpose of this project was to implement Fractal Image Compression, as described by Yuval Fisher in his book Fractal Image Compression: Theory And Application. In chapter 1.4 of his book, Dr.
Fractals are geometric objects that are exactly self-similar and have a fractional (Hausdorff) dimension. Consequently, they contain an infinite amount of detail. However, they can be described by a ...
first of all, very nice work. Thank you for making this available to everyone. I was curious about the following, shouldn't the decompressed fractal have the same dimensions as the original input ...
ABSTRACT: One of the main disadvantages of fractal image data compression is a loss time in the process of image compression (encoding) and conversion into a system of iterated functions (IFS). In ...
Taberex is a Python implementation of fractal image compression techniques adapted for 1D time series data. It demonstrates how self-similarity in signals can be exploited for compression, ...