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Proceedings Paper

Denoising, deblurring, and superresoluton in mobile phones
Author(s): Filip Šroubek; Jan Kamenický; Jan Flusser
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Paper Abstract

Current mobile phones and web cameras are equipped with low-budget digital cameras and very poor optics. Consequently, images acquired by such cameras are deteriorated by noise and blur, and have effective resolution lower than the number of pixels. Recovering a noise-free, sharp and high-resolution image from a single input image is a heavily ill-posed problem. We propose a novel algorithm which takes a set of acquired images from low-budget cameras and performs simultaneously three tasks: registration, denoising, deblurring and resolution enhancement. The amount of each depends on the characteristics of the input set. In order to achieve all tasks in one framework, we formulate the image restoration as an energy minimization problem. A special attention is paid to implementation, so that a fast algorithm is achieved. We demonstrate performance of the proposed algorithm on a system, which comprises a camera in a mobile phone (or web camera) and a PC. The mobile acquires images, connects to the PC via wireless network, sends the images and shows the output after it is calculated on the PC.

Paper Details

Date Published: 7 February 2011
PDF: 11 pages
Proc. SPIE 7873, Computational Imaging IX, 78730I (7 February 2011); doi: 10.1117/12.872577
Show Author Affiliations
Filip Šroubek, Institute of Information Theory and Automation (Czech Republic)
Jan Kamenický, Institute of Information Theory and Automation (Czech Republic)
Jan Flusser, Institute of Information Theory and Automation (Czech Republic)


Published in SPIE Proceedings Vol. 7873:
Computational Imaging IX
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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