Image Processing

The always increasing demand for enhancing the quality of images for consumer applications-medical or biological imaging, in remote sensing, and for astronomy, to cite only a few-has fueled a resurgence of research into blind deconvolution techniques. Blind Image Deconvolution: Theory and Applicatio..

With advances in image sensors, digital TV, image-enabled consumer electronics, and much more, color image processing is of paramount interest in the computer vision community. This book details recent advances in digital color image acquisition, analysis, processing, and display, exploring emerging..

While digital color is now the technology of choice for printers, the knowledge required to address the quality and productivity issues of these devices is scattered across several technologies, as is its supporting literature. Bringing together information from diverse fields, this is the first boo..

The best-selling first edition of this book introduced engineers, scientists, and students to the power of image algebra, its basic concepts, and its use in the concise representation of computer vision algorithms. Updated to reflect more recent developments, the second edition continues to provide ..

This handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It offers a framework for computer vision applications, including image processing and video surveillance, and describes many methods and al..

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, Image Processing Technologies traces the evolution and advancement of computer vision and image processing (CVIP) technologies, examining m..

Image super-resolution is the process by which a single HR image is obtained from multiple degraded LR images. Image super-resolution can be carried out with or without a priori information. The problem of super-resolution reconstruction of images can be solved in successive steps: image registratio..

This book outlines the principles of linear inverse problems, methods of their approximate solution and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book accessible to newcomers. Mathematical prerequisites are first courses in analysis,..

A textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. It presents easily implementable and fast solution algorithms. It provides the reader with the background for an understanding of the essence of inverse problems (ill..

Clear, accessible, and well-organized, this book provides a one-stop resource on the various techniques of 2- and 3D shape description and measurement. It presents consistent and coherent summaries of the various methods so that engineers, researchers, and others can compare methods, select the one ..

Clear, accessible, and well-organized, this book provides a one-stop resource on the various techniques of 2- and 3D shape description and measurement. It presents consistent and coherent summaries of the various methods so that engineers, researchers, and others can compare methods, select the one ..

Featuring various hands-on examples to provide understanding of this new approach, Multispectral Image Analysis Using the Object-Oriented Paradigm shows how to extract information from remotely sensed data for applications in agriculture, visual simulation, civil government mapping, forestry, fire r..