By Peyman Milanfar
This e-book capabilities because the definitive review of the sector of super-resolution imaging. Written by means of the major researchers within the box of picture and video super-resolution, it surveys the newest cutting-edge concepts in super-resolution imaging. every one exact bankruptcy presents assurance of the implementations and functions of super-resolution imaging. Its 14 sections span quite a lot of glossy super-resolution imaging strategies and contains variational, Bayesian, feature-based, multi-channel, learning-based, in the community adaptive, and nonparametric equipment. It discusses, between others, clinical, army, and remote-sensing functions. The ebook can be utilized as a reference, a foundation for short-courses at the topic, or as a part of a graduate path on electronic photograph processing.
Read or Download Super-Resolution Imaging PDF
Similar imaging systems books
There are numerous books on neural networks, a few of which covercomputational intelligence, yet none that include either function extraction and computational intelligence, as Supervised and Unsupervised trend attractiveness does. This quantity describes the appliance of a singular, unsupervised trend acceptance scheme to the category of varied forms of waveforms and imagesThis titanic choice of contemporary learn starts with an advent to Neural Networks, classifiers, and have extraction tools.
Database and knowledge conversation community structures examines the usage of the net and native Area/Wide quarter Networks in all components of human undertaking. This three-volume set covers, between different issues, database structures, information compression, database structure, facts acquisition, asynchronous move mode (ATM) and the sensible software of those applied sciences.
A whole One-Stop source whereas electronic colour is now the expertise of selection for printers, the data required to handle the standard and productiveness problems with those units is scattered throughout a number of applied sciences, as is its aiding literature. Bringing jointly info from different fields, keep an eye on of colour Imaging structures: research and layout is the 1st publication to supply complete insurance of the basics and algorithms of the various disciplines linked to electronic colour printing in one source.
So as to make the most of electronic pictures successfully, particular recommendations are had to lessen the variety of bits required for his or her illustration. This instructional textual content presents the foundation for knowing those photo compression tecniques and offers a couple of diverse schemes that experience confirmed important.
- Optics , Edition: 2 Sub
- Data Mining on Multimedia Data, 1st Edition
- Forensic Uses of Digital Imaging, Second Edition
- Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series)
- Image Processing
Additional resources for Super-Resolution Imaging
In Proceedings of International Congress of Mathematicians, volume 3, pages 1433–1452, 2006.  D. Capel. Image Mosaicing and Super-resolution. Springer, 2004.  D. Capel and A. Zisserman. Automated mosaicing with super-resolution zoom. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 885–891, 1998.  D. Capel and A. Zisserman. Super-resolution enhancement of text image sequences. In Proceedings of the International Conference on Pattern Recognition, volume 1, pages 1600–1605, 2000.
Bose, and H. M. Valenzuela. Recursive reconstruction of high resolution image from noisy undersampled multiframes. IEEE Transactions on Acoustics, Speech and Signal Processing, 38(6):1013– 1027, 1990.  H. -F. Westin. Normalized and diﬀerential convolution. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 515–523, 1993. 28 Super-Resolution Imaging  D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorizaiton.
Buades, B. Coll, and J. M. More. A non-local algorithm for image denoising. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 60–65, 2005.  E. Candes. Compressive sensing. In Proceedings of International Congress of Mathematicians, volume 3, pages 1433–1452, 2006.  D. Capel. Image Mosaicing and Super-resolution. Springer, 2004.  D. Capel and A. Zisserman. Automated mosaicing with super-resolution zoom. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 885–891, 1998.