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The technologies associated with the digital representation of visual information have received a lot of attention lately, considering the ongoing explosion in the popularity of digital cameras, online image delivery, powerful graphics-editing programs, and digital video. Such technologies have been evolving for years, though, and in Digital Image Processing: A Practical Introduction Using Java, Nick Efford provides a fine snapshot of the state of digital imaging art. A serious treatment of the theory and practice of encoding and manipulating graphics data, Efford's book explains how computer programs work with pixels, colours, and other aspects of digital imaging. There's emphasis on sampling, filtering, compression, and additional manipulation algorithms.
The technologies associated with the digital representation of visual information have received a lot of attention lately, considering the ongoing explosion in the popularity of digital cameras, online image delivery, powerful graphics-editing programs, and digital video. Such technologies have been evolving for years, though, and in Digital Image Processing: A Practical Introduction Using Java, Nick Efford provides a fine snapshot of the state of digital imaging art. A serious treatment of the theory and practice of encoding and manipulating graphics data, Efford's book explains how computer programs work with pixels, colours, and other aspects of digital imaging. There's emphasis on sampling, filtering, compression, and additional manipulation algorithms.
This book is about digital images, not Java. The Java programming language is just Efford's tool for illustrating how to manipulate image data. (Because of its clean design, Java is particularly well suited to this job.) In a typical section, Efford reveals the theory behind a particular kind of image processing (often with some pure math that's easy to follow with a bit of study) and then show how Java implements the idea. He uses the classes of the Java2D API in his code listings, illustrating the results using sample images (some in colour) and graphs. --David Wall, Amazon.com
Topics covered: Techniques for representing visual information digitally, and for manipulating those representations with software. There's not a lot of coverage of individual file formats, but the author pays lots of attention to sampling, colour enhancement, edge detection, affine transforms, and compression. Code samples are in Java.
Product Description
This text takes a practical approach to image processing, from a Computer Science perspective, using Java code and presuming a minimal mathematical background.
The book explains IP concepts, and then allows the student to practice them by working with the accompanying CD-ROM.
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Inside This Book
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First Sentence
In the broadest possible sense, images are pictures: a way of recording and presenting information visually. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
In the broadest possible sense, images are pictures: a way of recording and presenting information visually. Read the first page
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Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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