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Examining Fractal Image Processing and Analysis

Examining Fractal Image Processing and Analysis
Author: Nayak, Soumya Ranjan
Publisher: IGI Global
Total Pages: 305
Release: 2019-10-18
Genre: Computers
ISBN: 1799800687

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Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis. Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well as recent trends in other soft computing techniques. Featuring research on topics such as image compression, pattern matching, and artificial neural networks, this book is ideally designed for system engineers, computer engineers, professionals, academicians, researchers, and students seeking coverage on problem-oriented processing techniques and imaging technologies.


Comparison of Lossless Image Compression Techniques based on Context Modeling

Comparison of Lossless Image Compression Techniques based on Context Modeling
Author: Mohammad El-Ghoboushi
Publisher: GRIN Verlag
Total Pages: 85
Release: 2015-03-31
Genre: Computers
ISBN: 3656932832

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Master's Thesis from the year 2014 in the subject Computer Science - Software, , course: Image Processing, language: English, abstract: In this thesis various methods for lossless compression of source image data are analyzed and discussed. The main focus in this work is lossless compression algorithms based on context modeling using tree structure. We are going to compare CALIC, GCT-I algorithms to the JPEG2000 standard algorithm which will be considered the reference of comparison. This work includes research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram which may lead to improve CALIC compression performance. Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. As when any pixel to be encoded has a different grey level than any of the neighboring pixels, CALIC triggers an escape sequence that switches the algorithm from binary mode to continuous-tone mode. Which means in this case the pixel will be treated as if it was in continuous-tone region. This minor modification should improve CALIC performance in binary images. Finally, we are going to discuss the GCT-I on medical images and compare results to the JPEG2000 standard.


Comparative Study and Hybrid Technique for Biomidical Image Compression

Comparative Study and Hybrid Technique for Biomidical Image Compression
Author: Mohamed Nagy Saad Mohamed Elziftawy
Publisher: LAP Lambert Academic Publishing
Total Pages: 184
Release: 2012-03
Genre:
ISBN: 9783848428182

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The objective of this study is to maximize the compression ratio while preserving images' information. The study has considered a set of images from both medical and biometric modalities. The dataset is subjected to four compression techniques which include both lossless and lossy techniques. The lossless techniques are Huffman and Arithmetic. The lossy techniques are Discrete Cosine Transform and Wavelet Transform. The maximum compression ratio for each image is chosen by three experts (for the medical dataset); while an identification software is used for biometric dataset. The next enhancement is done by isolating the region of interest in the image then applying the compression procedure. The last enhancement is the hybrid process which combines the lossless compression technique for the essential regions, and the lossy compression technique for the nonessential regions.This could be done using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process.


Advances in Intelligent Systems

Advances in Intelligent Systems
Author: S.G. Tzafestas
Publisher: Springer Science & Business Media
Total Pages: 602
Release: 2001-11-30
Genre: Computers
ISBN: 9781402003936

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Intelligent Systems involve a large class of systems which posses human-like capabilities such as learning, observation, perception, interpretation, reasoning under uncertainty, planning in known and unknown environments, decision making, and control action. The field of intelligent systems is actually a new interdisciplinary field which is the outcome of the interaction, cooperation and synergetic merging of classical fields such as system theory, control theory, artificial intelligence, information theory, operational research, soft computing, communications, linguistic theory, and others. Integrated intelligent decision and control systems involve three primary hierarchical levels, namely organization, coordination and execution levels. As we proceed from the be performed organization to the execution level, the precision about the jobs to increases and accordingly the intelligence required for these jobs decreases. This is in compliance with the principle of increasing precision with decreasing intelligence (IPOI) known from the management field and theoretically established by Saridis using information theory concepts. This book is concerned with intelligent systems and techniques and gives emphasis on the computational and processing issues. Control issues are not included here. The contributions of the book are presented in four parts as follows.