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.

• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Detailed Table of Contents
• Preface
• Chapter 1: An Edge Detection Approach for Fractal Image Processing
• Chapter 2: A Review on Chaos-Based Image Encryption Using Fractal Function
• Chapter 3: Development of Algorithms for Medical Image Compression
• Chapter 4: Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques
• Chapter 5: A Performance Study of Image Quality Attributes on Smoothened Image Obtained by Anisotropic Diffusion-Based Models
• Chapter 6: A Review of Contemporary Image Compression Techniques and Standards
• Chapter 7: Bio-Medical Image Processing
• Chapter 8: Fatigue Monitoring for Drivers in Advanced Driver-Assistance System
• Chapter 9: Automatic Article Detection in a Jumbled Scene Using Point Feature Matching
• Chapter 10: R-HOG Feature-Based Off-Line Odia Handwritten Character Recognition
• Chapter 11: Image Enhancement
• Chapter 12: Analysis of Biomedical Image for Alzheimer's Disease Detection
• Chapter 13: An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images
• Compilation of References
• About the Contributors
• Index