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Books > Computing & IT > Applications of computing > Image processing
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Image Mosaicing and Super-resolution (Paperback, Softcover reprint of the original 1st ed. 2004)
Loot Price: R2,855
Discovery Miles 28 550
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Image Mosaicing and Super-resolution (Paperback, Softcover reprint of the original 1st ed. 2004)
Series: Distinguished Dissertations
Expected to ship within 10 - 15 working days
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The Distinguished Dissertation Series is published on behalf of the
Conference of Professors and Heads of Computing and the British
Computer Society, who annually select the best British PhD
dissertations in computer science for publication. The
dissertations are selected on behalf of the CPHC by a panel of
eight academics. Each dissertation chosen makes a noteworthy
contribution to the subject and reaches a high standard of
exposition, placing all results clearly in the context of computer
science as a whole. In this way computer scientists with
significantly different interests are able to grasp the essentials
- or even find a means of entry - to an unfamiliar research topic.
This book investigates how information contained in multiple,
overlapping images of a scene may be combined to produce images of
superior quality. This offers possibilities such as noise
reduction, extended field of view, blur removal, increased spatial
resolution and improved dynamic range. Potential applications cover
fields as diverse as forensic video restoration, remote sensing,
video compression and digital video editing.The book covers two
aspects that have attracted particular attention in recent years:
image mosaicing, whereby multiple images are aligned to produce a
large composite; and super-resolution, which permits restoration at
an increased resolution of poor quality video sequences by
modelling and removing imaging degradations including noise, blur
and spacial-sampling. It contains a comprehensive coverage and
analysis of existing techniques, and describes in detail novel,
powerful and automatic algorithms (based on a robust, statistical
framework) for applying mosaicing and super-resolution. The
algorithms may be implemented directly from the descriptions given
here. A particular feature of the techniques is that it is not
necessary to know the camera parameters (such as position and focal
length) in order to apply them. Throughout the book, examples are
given on real image sequences, covering a variety of applications
including: the separation of latent marks in forensic images; the
automatic creation of 360 panoramic mosaics; and super-resolution
restoration of various scenes, text, and faces in lw-quality video.
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