NDLI: Multiframe demosaicing and super-resolution of color images

Content Provider	IEEE Xplore Digital Library
Author	Farsiu, S. Elad, M. Milanfar, P.
Copyright Year	1992
Abstract	In the last two decades, two related categories of problems have been studied independently in image restoration literature: super-resolution and demosaicing. A closer look at these problems reveals the relation between them, and, as conventional color digital cameras suffer from both low-spatial resolution and color-filtering, it is reasonable to address them in a unified context. In this paper, we propose a fast and robust hybrid method of super-resolution and demosaicing, based on a maximum a posteriori estimation technique by minimizing a multiterm cost function. The L/sub 1/ norm is used for measuring the difference between the projected estimate of the high-resolution image and each low-resolution image, removing outliers in the data and errors due to possibly inaccurate motion estimation. Bilateral regularization is used for spatially regularizing the luminance component, resulting in sharp edges and forcing interpolation along the edges and not across them. Simultaneously, Tikhonov regularization is used to smooth the chrominance components. Finally, an additional regularization term is used to force similar edge location and orientation in different color channels. We show that the minimization of the total cost function is relatively easy and fast. Experimental results on synthetic and real data sets confirm the effectiveness of our method.
Sponsorship	IEEE Signal Processing Society
Page Count	19
File Size	7289042
Starting Page	141
Ending Page	159
File Format	PDF
ISSN	10577149
Volume Number	15
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Color Spatial resolution Cost function Motion estimation Image restoration Digital cameras Robustness Maximum a posteriori estimation Motion measurement super-resolution Color enhancement demosaicing image restoration robust estimation robust regularization
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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