Image retrieval based on 2-D histogram of fractal parameters
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
A fast classification based method for fractal image encoding
Image and Vision Computing
A fast fractal image encoding method based on intelligent search of standard deviation
Computers and Electrical Engineering
Improving fractal codes based image retrieval using histogram of collage errors
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
An improved no-search fractal image coding method based on a fitting plane
Image and Vision Computing
A multi-purpose digital image watermarking using fractal block coding
Journal of Systems and Software
3D Searchless Fractal Video Encoding at Low Bit Rates
Journal of Mathematical Imaging and Vision
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This paper presents a new adaptive search approach to reduce the computational complexity of fractal encoding. A simple but very efficient adaptive necessary condition is introduced to exclude a large number of unqualified domain blocks so as to speed-up fractal image compression. Furthermore, we analyzed an unconventional affine parameter that has better properties than the conventional luminance offset. Specifically, we formulated an optimal bit allocation scheme for the simultaneous quantizations of the usual scaling and the aforementioned unconventional affine parameter. Experiments on standard images showed that our adaptive search method yields superior performance over conventional fractal encoding