Best Books on Multiresolution Image Processing

“Signal and Image Multiresolution Analysis (Digital Signal and Image Processing)” Book Review: This book offers a straightforward formalization that brings clarity to the concept of multiresolution analysis, making previously obscure techniques more accessible. It integrates this technique with various other domains such as encoding, feature extraction, compressive sensing, multifractal analysis, and texture analysis. The book caters to a wide range of professionals, including industrial engineers, medical researchers, university lab attendants, lecturers, and researchers. It is also a valuable resource for graduate students studying engineering, particularly in the fields of medical imaging, intelligent instrumentation, telecommunications, and signal and image processing. Throughout the chapters, readers will find informative illustrations in the form of numerous figures, along with real-world applications in biomedical engineering, communication, multimedia, and finance. These examples serve to reinforce understanding and highlight the relevance of multiresolution analysis in diverse disciplines.

“Multiresolution Approach to Processing Images for Different Applications” Book Review: This book offers a comprehensive exploration of the theoretical and practical aspects of the interaction between low and high-level image processing. It covers a wide range of research fields and provides examples to illustrate key concepts. The book delves into various applications, including video surveillance, biomedical applications such as EMG and X-ray analysis, and enhanced communication methods like teleoperation and telemedicine. Additionally, it delves into topics such as animation, augmented/virtual reality, and robot vision, as well as the monitoring of ship systems’ condition and image quality control. By encompassing these diverse areas, the book provides readers with a holistic understanding of the interplay between low and high-level image processing and its applications in various domains.

“Multiresolution Image Shape Description (Springer Series in Perception Engineering)” Book Review: This book offers a comprehensive exploration of two multi-resolution image shape description methods, encompassing their theory, implementation, and application. It delves into quantitative approaches for describing the spatial and intensity variations of structures in grayscale images. The book places a particular emphasis on the intensity axis of symmetry, which corresponds to the image’s skeleton. It provides detailed techniques for achieving these image shape descriptions effectively. Additionally, the book explores the segmentation of grayscale images into geometrically coherent regions using these shape description methods. By covering these topics, the book equips readers with the necessary knowledge and tools to understand, implement, and leverage multi-resolution image shape description techniques for a variety of applications.