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Sensors 2009, 9(6), 4649-4668; doi:10.3390/s90604649
Article

A High Resolution Color Image Restoration Algorithm for Thin TOMBO Imaging Systems

*  and
Received: 20 May 2009; in revised form: 5 June 2009 / Accepted: 5 June 2009 / Published: 15 June 2009
(This article belongs to the Special Issue Image Sensors)
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Abstract: In this paper, we present a blind image restoration algorithm to reconstruct a high resolution (HR) color image from multiple, low resolution (LR), degraded and noisy images captured by thin (< 1mm) TOMBO imaging systems. The proposed algorithm is an extension of our grayscale algorithm reported in [1] to the case of color images. In this color extension, each Point Spread Function (PSF) of each captured image is assumed to be different from one color component to another and from one imaging unit to the other. For the task of image restoration, we use all spectral information in each captured image to restore each output pixel in the reconstructed HR image, i.e., we use the most efficient global category of point operations. First, the composite RGB color components of each captured image are extracted. A blind estimation technique is then applied to estimate the spectra of each color component and its associated blurring PSF. The estimation process is formed in a way that minimizes significantly the interchannel cross-correlations and additive noise. The estimated PSFs together with advanced interpolation techniques are then combined to compensate for blur and reconstruct a HR color image of the original scene. Finally, a histogram normalization process adjusts the balance between image color components, brightness and contrast. Simulated and experimental results reveal that the proposed algorithm is capable of restoring HR color images from degraded, LR and noisy observations even at low Signal-to-Noise Energy ratios (SNERs). The proposed algorithm uses FFT and only two fundamental image restoration constraints, making it suitable for silicon integration with the TOMBO imager.
Keywords: image restoration; TOMBO; color imaging; CMOS imager; point operations; back-projection; cross-correlation; spectra image restoration; TOMBO; color imaging; CMOS imager; point operations; back-projection; cross-correlation; spectra
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

El-Sallam, A.A.; Boussaid, F. A High Resolution Color Image Restoration Algorithm for Thin TOMBO Imaging Systems. Sensors 2009, 9, 4649-4668.

AMA Style

El-Sallam AA, Boussaid F. A High Resolution Color Image Restoration Algorithm for Thin TOMBO Imaging Systems. Sensors. 2009; 9(6):4649-4668.

Chicago/Turabian Style

El-Sallam, Amar A.; Boussaid, Farid. 2009. "A High Resolution Color Image Restoration Algorithm for Thin TOMBO Imaging Systems." Sensors 9, no. 6: 4649-4668.



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