Books in the Digital Imaging and Computer Vision series

Addressing a variety of applications, this book covers a wide range of topics pertaining to image restoration. Topics covered include image denoising, document image analysis, remote sensing applications, and image formation modeling. Content also addresses blind image restoration, iterative optimization techniques, learning-based image restoration, and non-local approach, as well as super-resolution, multi-spectral restoration, and video inpainting. Contributors from various countries help readers understand the essentials, the state of the art, and the research directions. The text features background material, mathematical content, a survey of the methods, examples, comparisons, and a bibliography.

This book is a compilation of the latest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of different types of microarrays, it examines the current state of microarray technology and describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization. Featuring cutting-edge approaches to clustering and the reconstruction of regulatory networks, the book explains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusions.

Broad in scope, this book provides a complete reference of techniques, algorithms, and solutions for the design and implementation of contemporary multimedia systems. Detailing the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the text is based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, and efficiency and scalability.

Addressing a variety of applications, this book covers a wide range of topics pertaining to image restoration. Topics covered include image denoising, document image analysis, remote sensing applications, and image formation modeling. Content also addresses blind image restoration, iterative optimization techniques, learning-based image restoration, and non-local approach, as well as super-resolution, multi-spectral restoration, and video inpainting. Contributors from various countries help readers understand the essentials, the state of the art, and the research directions. The text features background material, mathematical content, a survey of the methods, examples, comparisons, and a bibliography.

This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models.

Filling a gap in the literature, this book comprehensively covers the system design, implementation, and application aspects of human visual system-driven computational imaging. It gives readers a strong, fundamental understanding of theory and methods, providing a foundation on which solutions for many of the most interesting and challenging imaging problems can be built. Featuring contributions by renowned experts, the book explores trends in image acquisition, processing, transmission, storage, display, and visual quality evaluation. This is a valuable resource for designing and implementing more effective solutions for cutting-edge digital imaging, computer vision, and multimedia applications.

This book covers an extensive range of topics related to visual cryptography techniques and secure image sharing solutions. It addresses sharing multiple secrets and visual cryptography schemes based on the probabilistic reconstruction of the secret image, including pictures in the distributed shares, contrast enhancement techniques, visual cryptography schemes based on different logical operations for combining shared images, cheating prevention, and the alignment problem for image shares. The book also describes practical applications, steganography, and authentication. Case studies demonstrate the effectiveness of the techniques.

Broad in scope, this book provides a complete reference of techniques, algorithms, and solutions for the design and implementation of contemporary multimedia systems. Detailing the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the text is based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, and efficiency and scalability.

Filling a gap in the literature, this book comprehensively covers the system design, implementation, and application aspects of human visual system-driven computational imaging. It gives readers a strong, fundamental understanding of theory and methods, providing a foundation on which solutions for many of the most interesting and challenging imaging problems can be built. Featuring contributions by renowned experts, the book explores trends in image acquisition, processing, transmission, storage, display, and visual quality evaluation. This is a valuable resource for designing and implementing more effective solutions for cutting-edge digital imaging, computer vision, and multimedia applications.

This book covers an extensive range of topics related to visual cryptography techniques and secure image sharing solutions. It addresses sharing multiple secrets and visual cryptography schemes based on the probabilistic reconstruction of the secret image, including pictures in the distributed shares, contrast enhancement techniques, visual cryptography schemes based on different logical operations for combining shared images, cheating prevention, and the alignment problem for image shares. The book also describes practical applications, steganography, and authentication. Case studies demonstrate the effectiveness of the techniques.

This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models.

Details advances in computational photography, their applications, and specific research challenges. This text begins with computational photography fundamentals and computational cameras, followed by a discussion of computational photography approaches across a broad spectrum of imaging applications.

Offers an overview of the field of super-resolution imaging. Surveying the techniques in super-resolution imaging, this title provides coverage of the implementations and applications of super-resolution imaging. It discusses, among others, medical, military, and microscopy applications.

The first book to serve as a comprehensive review of digital imaging and computer vision with graphs, this reference helps readers unfamiliar with presented concepts. The book is divided into two parts that focus on the processing of functions on graphs, graph-based image processing, representation and analysis of objects on graphs, and graph-based image analysis. Each chapter provides a comprehensive review on a specific topic. These range from research challenges to industry trends, and contributors provide numerous examples to illustrate how the proposed methods can be used in practice. A companion website is available.