Modern image quality assessment
By: Wang, Zhou.
Contributor(s): Bovik, Alan C.
Material type:
BookSeries: Synthesis lectures on image, video, and multimedia processing: #3.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2006Description: 1 electronic document (x, 146 p.) : digital file.ISBN: 1598290231 (electronic bk.); 9781598290233 (electronic bk.); 1598290223 (paper); 9781598290226 (paper).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Image processing -- Digital techniques | Imaging systems -- Image quality | Image quality assessment | Perceptual image processing | Visual perception | Computer vision | Computational visionDDC classification: 621.36/7 Online resources: Abstract with links to resource | Abstract with links to full text Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
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PK Kelkar Library, IIT Kanpur | Available | EBKE076 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Series statement from caption on home page.
Includes bibliographical references (p. 133-146).
Introduction -- Bottom-up approaches for full-reference image quality assessment -- Top-down approaches for full-reference image quality assessment -- No-reference image quality assessment -- Reduced-reference image quality assessment -- Conclusion -- Bibliography.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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INSPEC
This Lecture book is about objective image quality assessment--where the aim is to provide computational models that can automatically predict perceptual image quality. The early years of the 21st century have witnessed a tremendous growth in the use of digital images as a means for representing and communicating information. A considerable percentage of this literature is devoted to methods for improving the appearance of images, or for maintaining the appearance of images that are processed. Nevertheless, the quality of digital images, processed or otherwise, is rarely perfect. Images are subject to distortions during acquisition, compression, transmission, processing, and reproduction. To maintain, control, and enhance the quality of images, it is important for image acquisition, management, communication, and processing systems to be able to identify and quantify image quality degradations. The goals of this book are as follows; a) to introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems, b) to give a broad treatment of the current state-of-the-art in image quality assessment, by describing leading algorithms that address these engineering problems, and c) to provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the past. The book is written to be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial R&D engineers seeking to implement image/video quality assessment systems for specific applications, and academic theorists interested in developing new algorithms for image quality assessment or using existing algorithms to design or optimize other image processing applications.
Also available in print.
Title from PDF t.p. (viewed on Oct. 10, 2008).
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