Iterative-Interpolation Super-Resolution Image Reconstruction A Computationally Efficient Technique /

This book presents a novel and hybrid, computationally efficient, reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images. The scheme proposed is referred as the It...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Bannore, Vivek (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 195
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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024 7 |a 10.1007/978-3-642-00385-1  |2 doi 
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100 1 |a Bannore, Vivek.  |e author. 
245 1 0 |a Iterative-Interpolation Super-Resolution Image Reconstruction  |h [electronic resource] :  |b A Computationally Efficient Technique /  |c by Vivek Bannore. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2009. 
300 |a XIII, 113 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 195 
505 0 |a to Super-Resolution -- Overview of Super-Resolution Techniques -- Iterative-Interpolation Super-Resolution (IISR) -- Optimization Approach to Super-Resolution Image Reconstruction -- Image Registration for Super-Resolution -- Software Framework -- Conclusion and Future Directions. 
520 |a This book presents a novel and hybrid, computationally efficient, reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images. The scheme proposed is referred as the Iterative-Interpolation Super-Resolution (IISR) technique. The optimization-based technique for super-resolution is reinvestigated for comparative analysis to evaluate the accuracy and efficiency of the IISR technique. The significant influence of the regularization term over the fidelity of reconstruction is also analysed. The IISR technique addresses the problem of super-resolution image enhancement in terms of maintaining highest fidelity of reconstruction and a low computational cost to achieve maximum applicability of super-resolution to the real-world applications. 
650 0 |a Mathematics. 
650 0 |a Artificial intelligence. 
650 0 |a Image processing. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Neuropsychology. 
650 1 4 |a Mathematics. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Neuropsychology. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642003844 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 195 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-00385-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)