Super resolution of images and video

• Main Author: Katsaggelos, Aggelos Konstantinos, 1956-
• Other Authors: Mateos, Javier, 1968-, Molina, Rafael, 1957-
• Format: Electronic
• Language: English
• Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2007.
• Edition: 1st ed.
• Series: Synthesis lectures on image, video, and multimedia processing ; #7.
• Subjects: Image processing > Digital techniques > Mathematical models.; Image processing > Digital techniques.; Image reconstruction > Mathematical models.; Resolution (Optics) > Mathematical models.; Video compression > Mathematical models.
• Online Access: Abstract with links to full text
• Item Description: Part of: Synthesis digital library of engineering and computer science.; Series from website.; Title from PDF t.p. (viewed on Oct. 10, 2008).
• Physical Description: 1 electronic document (xvi, 134 p.) : digital file.
• Format: Mode of access: World Wide Web.; System requirements: PDF reader.
• Bibliography: Includes bibliographical references (p. 113-127) and index.
• ISBN: 1598290851 (electronic bk.); 9781598290851 (electronic bk.)
• Access: Abstract freely available; full-text restricted to subscribers or individual document purchasers.; Available to subscribers only.

This book focuses on the super resolution of images and video. The authors' use of the term super resolution (SR) is used to describe the process of obtaining a high resolution (HR) image, or a sequence of HR images, from a set of low resolution (LR) observations. This process has also been referred to in the literature as resolution enhancement (RE). SR has been applied primarily to spatial and temporal RE, but also to hyperspectral image enhancement. This book concentrates on motion based spatial RE, although the authors also describe motion free and hyperspectral image SR problems. Also examined is the very recent research area of SR for compression, which consists of the intentional downsampling, during pre-processing, of a video sequence to be compressed and the application of SR techniques, during post-processing, on the compressed sequence. It is clear that there is a strong interplay between the tools and techniques developed for SR and a number of other inverse problems encountered in signal processing (e.g., image restoration, motion estimation). SR techniques are being applied to a variety of fields, such as obtaining improved still images from video sequences (video printing), high definition television, high performance color Liquid Crystal Display (LCD) screens, improvement of the quality of color images taken by one CCD, video surveillance, remote sensing, and medical imaging. The authors believe that the SR/RE area has matured enough to develop a body of knowledge that can now start to provide useful and practical solutions to challenging real problems and that SR techniques can be an integral part of an image and video codec and can drive the development of new coder-decoders (codecs) and standards.