Schema genetic algorithm for fractal image compression
Engineering Applications of Artificial Intelligence
Discovering patterns in categorical time series using IFS
Computational Statistics & Data Analysis
A fast classification based method for fractal image encoding
Image and Vision Computing
Fractal image compression using visual-based particle swarm optimization
Image and Vision Computing
The Picard contraction mapping method for the parameter inversion of reaction-diffusion systems
Computers & Mathematics with Applications
Fractal image compression based on spatial correlation and hybrid genetic algorithm
Journal of Visual Communication and Image Representation
A fast fractal image encoding method based on intelligent search of standard deviation
Computers and Electrical Engineering
Novel fractal image encoding algorithm using normalized one-norm and kick-out condition
Image and Vision Computing
Contrast enhancement of images using Partitioned Iterated Function Systems
Image and Vision Computing
A hybrid fractal video compression method
Computers & Mathematics with Applications
Adaptive partition and hybrid method in fractal video compression
Computers & Mathematics with Applications
Computers & Mathematics with Applications
DCT based simple classification scheme for fractal image compression
Image and Vision Computing
Expert Systems with Applications: An International Journal
Genetic algorithm with a hybrid select mechanism for fractal image compression
Digital Signal Processing
Real time fractal image coder based on characteristic vector matching
Image and Vision Computing
Robust estimation of parameter for fractal inverse problem
Computers & Mathematics with Applications
Inpainting with image patches for compression
Journal of Visual Communication and Image Representation
Watermarking using similarities based on fractal codification
Digital Signal Processing
How to Transform and Filter Images Using Iterated Function Systems
SIAM Journal on Imaging Sciences
A New Probabilistic Approach for Fractal Based Image Compression
Fundamenta Informaticae
Super-resolution texture synthesis using stochastic PAR/NL model
Journal of Visual Communication and Image Representation
Hiding Digital Watermarks Using Fractal Compression Technique
Fundamenta Informaticae
A Study on Partitioned Iterative Function Systems for Image Compression
Fundamenta Informaticae
Analysis of Fractal Operator Convergence by Graph Methods
Fundamenta Informaticae
On Relation of Image Compression and Image Association
Fundamenta Informaticae
3D Searchless Fractal Video Encoding at Low Bit Rates
Journal of Mathematical Imaging and Vision
Image Color Transfer Approach by Analogy with Taylor Expansion
International Journal of System Dynamics Applications
Hybrid fractal image coding with quadtree-based progressive structure
Journal of Visual Communication and Image Representation
Fractal Top for Contractive and Non-Contractive Transformations
International Journal of Artificial Life Research
A quadsection algorithm for grammar-based image compression
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
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The author proposes an independent and novel approach to image coding, based on a fractal theory of iterated transformations. The main characteristics of this approach are that (i) it relies on the assumption that image redundancy can be efficiently exploited through self-transformability on a block-wise basis, and (ii) it approximates an original image by a fractal image. The author refers to the approach as fractal block coding. The coding-decoding system is based on the construction, for an original image to encode, of a specific image transformation-a fractal code-which, when iterated on any initial image, produces a sequence of images that converges to a fractal approximation of the original. It is shown how to design such a system for the coding of monochrome digital images at rates in the range of 0.5-1.0 b/pixel. The fractal block coder has performance comparable to state-of-the-art vector quantizers