Joint demosaicing and super-resolution imaging from a set of unregistered aliased images

Patrick Vandewalle; Karim Krichane; David Alleysson; Sabine Süsstrunk

doi:10.1117/12.703980

20 February 2007 Joint demosaicing and super-resolution imaging from a set of unregistered aliased images

Patrick Vandewalle, Karim Krichane, David Alleysson, Sabine Süsstrunk

Proceedings Volume 6502, Digital Photography III; 65020A (2007) https://doi.org/10.1117/12.703980
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

We present a new algorithm that performs demosaicing and super-resolution jointly from a set of raw images sampled with a color filter array. Such a combined approach allows us to compute the alignment parameters between the images on the raw camera data before interpolation artifacts are introduced. After image registration, a high resolution color image is reconstructed at once using the full set of images. For this, we use normalized convolution, an image interpolation method from a nonuniform set of samples. Our algorithm is tested and compared to other approaches in simulations and practical experiments.

Citation Download Citation

Patrick Vandewalle, Karim Krichane, David Alleysson, and Sabine Süsstrunk "Joint demosaicing and super-resolution imaging from a set of unregistered aliased images", Proc. SPIE 6502, Digital Photography III, 65020A (20 February 2007); https://doi.org/10.1117/12.703980

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