Sensors 2008, 8(9), 6108-6124; doi:10.3390/s8096108
Article

Spectral-Based Blind Image Restoration Method for Thin TOMBO Imagers

School of Electrical, Electronic and Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
* Author to whom correspondence should be addressed.
Received: 1 July 2008; in revised form: 7 September 2008 / Accepted: 8 September 2008 / Published: 26 September 2008
(This article belongs to the Special Issue Integrated High-performance Imagers)
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Abstract: With the recent advances in microelectronic fabrication technology, it becomes now possible to fabricate thin imagers, less than half a millimeter thick. Dubbed TOMBO (an acronym for thin observation module by bound optics), a thin camera-on-a-chip integrates micro-optics and photo-sensing elements, together with advanced processing circuitry, all on a single silicon chip. Modeled after the compound-eye found in insects and many other arthropods, the TOMBO imager captures simultaneously a mosaic of low resolution images. In this paper, we describe and analyze a novel spectral-based blind algorithm that enables the restoration of a high resolution image from the captured low resolution images.The proposed blind restoration method does not require prior information about the imaging system nor the original scene. Furthermore, it alleviates the need for conventional de-shading and rearrangement processing techniques. Experimental results demonstrate that the proposed method can restore images for SNER lower than 3dB.
Keywords: Image Restoration; TOMBO; CMOS Imager; Back-Projection; Cross-correlation; Spectra

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MDPI and ACS Style

El-Sallam, A.A.; Boussaid, F. Spectral-Based Blind Image Restoration Method for Thin TOMBO Imagers. Sensors 2008, 8, 6108-6124.

AMA Style

El-Sallam AA, Boussaid F. Spectral-Based Blind Image Restoration Method for Thin TOMBO Imagers. Sensors. 2008; 8(9):6108-6124.

Chicago/Turabian Style

El-Sallam, Amar A.; Boussaid, Farid. 2008. "Spectral-Based Blind Image Restoration Method for Thin TOMBO Imagers." Sensors 8, no. 9: 6108-6124.

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