7 February 2011 Denoising, deblurring, and superresoluton in mobile phones
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Proceedings Volume 7873, Computational Imaging IX; 78730I (2011) https://doi.org/10.1117/12.872577
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Filip Šroubek, Jan Kamenický, Jan Flusser, "Denoising, deblurring, and superresoluton in mobile phones", Proc. SPIE 7873, Computational Imaging IX, 78730I (7 February 2011); doi: 10.1117/12.872577; https://doi.org/10.1117/12.872577
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