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Image processing --- Image compression --- Fractals --- Wavelets (Mathematics)
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Emphasizing the practical exploration of various neural networking techniques, this study describes how to design and implement programs that may be used in a number of areas, such as pattern recognition, financial forecasting, and the solution of engineering problems.
Artificial intelligence. Robotics. Simulation. Graphics --- Computer architecture. Operating systems --- Neural networks (Computer science) --- Fuzzy systems. --- C (Computer program language) --- C++ (Computer program language) --- Réseaux neuronaux (Informatique) --- Systèmes flous --- C (Langage de programmation) --- C++ (Langage de programmation) --- C (Computer program language). --- C++ (Computer program language). --- Neural networks (Computer science). --- Réseaux neuronaux (Informatique) --- Systèmes flous --- Fuzzy systems --- Systems, Fuzzy --- System analysis --- Fuzzy logic --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Programming languages
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Interest in image compression for internet and other multimedia applications has spurred research into compression techniques that will increase storage capabilities and transmission speed. This tutorial provides a practical guide to fractal and wavelet approaches--two techniques with exciting potential. It is intended for scientists, engineers, researchers, and students. It provides both introductory information and implementation details. Three Windows-compatible software systems are included so that readers can explore the new technologies in depth. Complete C/C++ source code is provided, enabling readers to go beyond the accompanying software. The mathematical presentation is accessible to advanced undergraduate or beginning graduate students in technical fields.
Image processing --- Image compression --- Fractals. --- Wavelets (Mathematics) --- Digital techniques. --- Mathematics.
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