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Fractal and Wavelet Image Compression Techniques

1999 Technology & Engineering
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Release : 1999
Genre : Technology & Engineering
Kind : eBook
Book Rating : 033/5 ( reviews)

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Book Synopsis Fractal and Wavelet Image Compression Techniques by : Stephen T. Welstead

Download or read book Fractal and Wavelet Image Compression Techniques written by Stephen T. Welstead. This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt: 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 Compression Using Fractals and Wavelets

1993
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Release : 1993
Genre :
Kind : eBook
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Book Synopsis Image Compression Using Fractals and Wavelets by :

Download or read book Image Compression Using Fractals and Wavelets written by . This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt: There are several approaches to image compression. The current most popular methods relies on eliminating high frequency components of the signal by storing only the low frequency Fourier coefficients. Other methods use a 'building block' approach, breaking up images into a small number of canonical pieces and storing only a reference to which piece goes where. Our research has focused on a new scheme based on fractals. Our approach to image compression is to tessellate the image with a tiling which varies with the local image complexity, and to check for self similarity amongst the tiles. Self similarities are coded as systems of affine transformations which can be stored far more compactly than the original images on small platforms. An original objective of our Phase II research project was to develop a hardware implementation of our Fractal based algorithm and to investigate various techniques for encoding. During the course of initial investigations it became apparent that the bulk of our efforts should be directed toward speeding up the software algorithms, especially in the decoding and adapting our fractal encoding methods to color images. This is because the most significant commercial applications of image compression require fast decoding.

A Wavelet Fractal Method for Content Based Image and Video Compression

1997
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Release : 1997
Genre :
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Book Synopsis A Wavelet Fractal Method for Content Based Image and Video Compression by : Robert J. Bonneau

Download or read book A Wavelet Fractal Method for Content Based Image and Video Compression written by Robert J. Bonneau. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt: Traditional methods of image and video coding rely on linear transformations that focus primarily on high compression. With the increasing demand for digital imagery and video there is now a need for functionality of the compressed information. This dissertation develops a new framework for compression that uses a fractal wavelet method to break the imagery into shape, texture, color, and motion. With this new organization, image information is readily accessible to the user in compressed form. Based on this compression method, we then develop an object-oriented video format. Image analysts tend to break imagery into the categories of shape, texture, color, and motion. Thus, we begin our approach to image compression by finding mathematical methods that preserve shape and texture in an efficient manner. This new non-traditional method begins by using fractals. A fractal is an object which when observed at its smallest level of detail resembles the overall object itself. Some natural examples include ferns, snowflakes, clouds, and mountains. Recently, engineers have applied fixed point theory to describe a method of fractal image compression . Unfortunately fixed point theory only provides a partial description of fractal compression, since it says little about the spatial frequency structure behind the process.

Fractal Image Compression

2012-12-06 Mathematics
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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 721/5 ( reviews)

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Book Synopsis Fractal Image Compression by : Yuval Fisher

Download or read book Fractal Image Compression written by Yuval Fisher. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: One half of the book is authored by Yuval Fisher himself, while articles from another 12 experts in the field present material from different points of view. The focus here is solely on fractal image encoding, with the aim of providing a working code that is usable in applications, while containing the complete details of how to encode and decode images. An indispensable "how to" guide, combining the very latest results in the field. Of interest to a very wide audience, ranging from experts in image processing to high school students.

Signal Processing with Fractals

1996 Mathematics
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Release : 1996
Genre : Mathematics
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Book Synopsis Signal Processing with Fractals by : Gregory W. Wornell

Download or read book Signal Processing with Fractals written by Gregory W. Wornell. This book was released on 1996. Available in PDF, EPUB and Kindle. Book excerpt: Fractal geometry and recent developments in wavelet theory are having an important impact on the field of signal processing. Efficient representations for fractal signals based on wavelets are opening up new applications for signal processing, and providing better solutions to problems in existing applications. Signal Processing with Fractals provides a valuable introduction to this new and exciting area, and develops a powerful conceptual foundation for understanding the topic. Practical techniques for synthesizing, analyzing, and processing fractal signals for a wide range of applications are developed in detail, and novel applications in communications are explored.

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