"Digital Image Processing: Latest Advances and Applications" ed. by Francisco Cuevas, Pier Luigi Mazzeo, Alessandro Bruno

This book offers a comprehensive analysis of image processing and its many applications in various fields. From improving the resolution of blurry images to identifying crop pests, optimizing water resource management, and extracting crucial details from photographs and videos, it covers a wide range of techniques and uses. This book provides readers with the tools and knowledge necessary to unlock the potential hidden in images, opening up new possibilities and applications in fields ranging from agriculture and medicine to technology and science.

Readers will be immersed in the fascinating world of image edge detection, combining color-based multidimensional scaling maps to highlight areas of saliency, and using deep learning to transform perception in driver assistance systems and autonomous vehicles. Additionally, they will explore how visual recognition can predict crack trajectories, bionic color theory, and the creation of realistic simulations of radar images. A highlight of the book is its focus on the revolutionary application of image processing in dentistry, from making precise measurements to developing next-generation dental biometrics systems.

Contents
1. Mix-Unmix Pan-Sharpener – Novel Pan-Sharpening Method Based on Mixing Constituent Multispectral Bands and Unmixing Panchromatic Band
2. Application of Digital Image Processing Techniques for Agriculture: A Review
3. Recent Advances on Image Edge Detection
4. Fusion of Color-Based Multi-Dimensional Scaling Maps For Saliency Estimation
5. Data Acquisition System for Calibration of Handheld Digital Multimeters through Digital Image Processing
6. Metrology and Digital Image Processing in Dentistry
7. Latest Advancements in Perception Algorithms for ADAS and AV Systems Using Infrared Images and Deep Learning
8. Visual Recognition and Prediction of Crack Propagation Trajectories
9. Bionic Color Theory
10. Simulation and Analysis of Synthetic Aperture Radar Images


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