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A Hybrid Fractal-wavelet Transform Image Data Compression Algorithm

A Hybrid Fractal-wavelet Transform Image Data Compression Algorithm
Author: University of Warwick. Dept. of Computer Science
Publisher:
Total Pages: 39
Release: 1995
Genre: Fractals
ISBN:

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Abstract: "This report describes two seemingly distinct areas of work, wavelet analysis and fractal image compression. A review of these two areas is presented, a new algorithm outlined, and some results presented. Finally, some speculations concerning the future direction of this research is included."


Fractal and Wavelet Image Compression Techniques

Fractal and Wavelet Image Compression Techniques
Author: Stephen T. Welstead
Publisher: SPIE Press
Total Pages: 264
Release: 1999
Genre: Technology & Engineering
ISBN: 9780819435033

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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.


Document and Image Compression

Document and Image Compression
Author: Mauro Barni
Publisher: CRC Press
Total Pages: 456
Release: 2018-10-08
Genre: Technology & Engineering
ISBN: 1420018833

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Although it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry. Faster processors enable previously intractable compression algorithms and schemes, and certainly the demand for highly portable high-quality images will not abate. Document and Image Compression highlights the current state of the field along with the most probable and promising future research directions for image coding. Organized into three broad sections, the book examines the currently available techniques, future directions, and techniques for specific classes of images. It begins with an introduction to multiresolution image representation, advanced coding and modeling techniques, and the basics of perceptual image coding. This leads to discussions of the JPEG 2000 and JPEG-LS standards, lossless coding, and fractal image compression. New directions are highlighted that involve image coding and representation paradigms beyond the wavelet-based framework, the use of redundant dictionaries, the distributed source coding paradigm, and novel data-hiding techniques. The book concludes with techniques developed for classes of images where the general-purpose algorithms fail, such as for binary images and shapes, compound documents, remote sensing images, medical images, and VLSI layout image data. Contributed by international experts, Document and Image Compression gathers the latest and most important developments in image coding into a single, convenient, and authoritative source.


Intelligent Fractal-Based Image Analysis

Intelligent Fractal-Based Image Analysis
Author: Soumya Ranjan Nayak
Publisher: Elsevier
Total Pages: 320
Release: 2024-06-14
Genre: Computers
ISBN: 0443184690

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Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems Explores the application of fractal theories to a wide range of medical image processing modalities Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems


Hybrid Fractal Image Compression Using YIQ Color Space and DCT

Hybrid Fractal Image Compression Using YIQ Color Space and DCT
Author: Zena H. Khalil
Publisher: LAP Lambert Academic Publishing
Total Pages: 128
Release: 2015-03-19
Genre:
ISBN: 9783659466779

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Data compression is one of the important topics in computer science that is concerned in reducing the size of data. There are many techniques for data compression used for specific type(s) of data and some other used for general purpose. In this research, the RGB image has been transformed into YIQ color transform, then the I&Q band have been sampled down in order to get effective compression. To break the long encoding time of FIC, many enhanced methods are applied to traditional FIC based on using zero-mean method, in which a mean of range block is used instead of offset parameter which simplify and speed up the encoding time; Also reduce a domain pool by filtration a domain pool from those block with high entropy value, in addition to discard domain blocks which have some distance ratio from matching process. Another speeding up technique is proposed in this research based on suggesting symmetry predictor to reduce isometric trails from 8 to 1 trail. The work proves to have a good result in compression ratio and quality of reconstructed image.


Innovative Research in Attention Modeling and Computer Vision Applications

Innovative Research in Attention Modeling and Computer Vision Applications
Author: Pal, Rajarshi
Publisher: IGI Global
Total Pages: 475
Release: 2015-10-02
Genre: Computers
ISBN: 146668724X

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Robotics and autonomous systems can aid disabled individuals in daily living or make a workplace more productive, but these tools are only as effective as the technology behind them. Robotic systems must be able to accurately identify and act upon elements in their environment to be effective in performing their duties. Innovative Research in Attention Modeling and Computer Vision Applications explores the latest research in image processing and pattern recognition for use in robotic real-time cryptography and surveillance applications. This book provides researchers, students, academicians, software designers, and application developers with next-generation insight into the use of computer vision technologies in a variety of industries and endeavors. This premier reference work includes chapters on topics ranging from biometric and facial recognition technologies, to digital image and video watermarking, among many others.


Fractals in Multimedia

Fractals in Multimedia
Author: Michael F. Barnsley
Publisher: Springer Science & Business Media
Total Pages: 271
Release: 2012-12-06
Genre: Computers
ISBN: 1468492446

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This IMA Volume in Mathematics and its Applications FRACTALS IN MULTIMEDIA is a result of a very successful three-day minisymposium on the same title. The event was an integral part of the IMA annual program on Mathemat ics in Multimedia, 2000-2001. We would like to thank Michael F. Barnsley (Department of Mathematics and Statistics, University of Melbourne), Di etmar Saupe (Institut fUr Informatik, UniversiUit Leipzig), and Edward R. Vrscay (Department of Applied Mathematics, University of Waterloo) for their excellent work as organizers of the meeting and for editing the proceedings. We take this opportunity to thank the National Science Foundation for their support of the IMA. Series Editors Douglas N. Arnold, Director of the IMA Fadil Santosa, Deputy Director of the IMA v PREFACE This volume grew out of a meeting on Fractals in Multimedia held at the IMA in January 2001. The meeting was an exciting and intense one, focused on fractal image compression, analysis, and synthesis, iterated function systems and fractals in education. The central concerns of the meeting were to establish within these areas where we are now and to develop a vision for the future.