Imaging and machine vision book recommendations: 1/13
In order to provide our readers with as many resources on imaging and machine vision as possible, Andy Wilson, Vision Systems Design Editor in Chief, has compiled a list of educational and informative books on various imaging topics that he personally recommends. Check out this week’s recommendations here.
In order to provide our readers with as many resources onimaging and machine vision as possible, Andy Wilson, Vision Systems Design Editor in Chief, has compiled a list of educational and informative books on various imaging topics that he personally recommends. Check out this week’s recommendations here:
- Digital Video Image Quality and Perceptual Coding (Signal Processing and Communications)by H.R. Wu, K.R. Rao:The hand is quicker than the eye. In many cases, so is digital video. Maintaining image quality in bandwidth- and memory-restricted environments is quickly becoming a reality as thriving research delves ever deeper into perceptual coding techniques, which discard superfluous data that humans cannot process or detect. Surveying the topic from a Human Visual System (HVS)-based approach, Digital Video Image Quality and Perceptual Coding outlines the principles, metrics, and standards associated with perceptual coding, as well as the latest techniques and applications.
- Digital Image Processing: Concepts, Algorithms, and Scientific Applications by Bernd Jähne: Since the first edition of this book was published in 1986 it has found its way to many desks and classrooms. The fifth edition has been revised to reflect the development of the field. The presentation and the selection of materials is guided by the needs of a researcher who wants to apply image processing techniques in his or her field. In this sense the book offers an integral view of image processing from image acquisition to the extraction of of the data of interest. The discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. The CD-ROM contains examples, images as well as exercises for selfstudy along with a hand-on version of the image processing software heurisko.
- Image Processing in Java by Douglas A. Lyon: Written for the more advanced Java developer, Image Processing in Java provides an excellent class library of 2-D image processing algorithms for Java, along with the mathematical underpinnings of how each works. The author first looks at some of the performance issues when using Java for image processing and then covers user interfaces, such as menu and shortcut key processing and events in Java. Several classes from the author's class library (named Kahindu) come next, including his powerful ImageFrame class, which manages the details of storing and displaying.
- Digital Image Processing: PIKS Inside by William K. Pratt: A newly updated and revised edition of the classic introduction to digital image processing The Fourth Edition of Digital Image Processing provides a complete introduction to the field and includes new information that updates the state of the art. The text offers coverage of new topics and includes interactive computer display imaging examples and computer programming exercises that illustrate the theoretical content of the book. These exercises can be implemented using the Programmer's Imaging Kernel System (PIKS) application program interface included on the accompanying CD.
- Digital Image Processing Algorithms and Applicationsby Ioannis Pitas: A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology. With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community.
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