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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Mirmehdi, Majid
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2018Depth-based Whole Body Photoplethysmography in Remote Pulmonary Function Testingcitations
- 2017Multiple human tracking in RGB-depth datacitations
- 2007An Introduction to Super-resolution Text
- 2001Locating the Optic Disk in Retinal Images
- 2001Automated analysis of environmental degradation of paint residues
- 2001Identifying Exudates in Diabetic Maculopathy
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booksection
An Introduction to Super-resolution Text
Abstract
This chapter examines the field of super-resolution with application to text analysis. While the area of super-resolution has been dealt with in fair depth in recent years, it is only just becoming useful as an applicable stage in improving text images, particularly for further processing, transmission, and understanding on mobile and handheld devices. After dealing with the general concepts of super-resolution we shall focus on static super-resolution. Then the main processing stages involved will be described:motion estimation and registration, warping and reconstruction, and deblurring and denoising. In each section any related works on text resolution enhancement are considered. Finally, for a case study, we describe a novel camera-based text resolution enhancement algorithm towards an embedded application.More details at:Springer www page for the book