Software/hardware co-design implementation for fractal image compression
ACM-SE 37 Proceedings of the 37th annual Southeast regional conference (CD-ROM)
A simple partitioning approach to fractal image compression
Proceedings of the 2001 ACM symposium on Applied computing
Rate adaptation transcoding for precoded video streams
Proceedings of the tenth ACM international conference on Multimedia
Three-dimensional fractal video coding
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
A hybrid fractal video compression method
Computers & Mathematics with Applications
Image coding based on a fractal theory of iterated contractive image transformations
IEEE Transactions on Image Processing
Fractal block coding of digital video
IEEE Transactions on Circuits and Systems for Video Technology
Grey video compression methods using fractals
International Journal of Computer Mathematics - Celebrating the Life of David J. Evans
Robust estimation of parameter for fractal inverse problem
Computers & Mathematics with Applications
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Fractal image compression is a relatively recent image compression method, which is simple to use and often leads to a high compression ratio. These advantages make it suitable for the situation of a single encoding and many decoding, as required in video on demand, archive compression, etc. There are two fundamental fractal compression methods, namely, the cube-based and the frame-based methods, being commonly studied. However, there are advantages and disadvantages in both methods. This paper gives an extension of the fundamental compression methods based on the concept of adaptive partition. Experimental results show that the algorithms based on adaptive partition may obtain a much higher compression ratio compared to algorithms based on fixed partition while maintaining the quality of decompressed images.