Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
A Bayesian super-resolution approach to demosaicing of blurred images
EURASIP Journal on Applied Signal Processing
Video-to-video dynamic super-resolution for grayscale and color sequences
EURASIP Journal on Applied Signal Processing
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
Variational method for super-resolution optical flow
Signal Processing
Color kernel regression for robust direct upsampling from raw data of general color filter array
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Color image demosaicking: An overview
Image Communication
Video and image bayesian demosaicing with a two color image prior
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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Super-resolution has been applied mainly to grayscale images, but producing a high-resolution color image using a single CCD sensor has not been investigated in detail until recently. This work aims at producing a high-resolution color image directly from raw "color mosaic" images obtained by a single CCD equipped with a color filter array. This method is based on a generalized formulation of super-resolution that simultaneously performs both resolution enhancement and demosaicing. The other key factor of our topic is a precise subpixel registration of multiple raw images. We examined direct registration of raw images based on an imaging model, which shows precise estimation of motion among severely aliased raw images. The proposed method is verified through experiments using synthetic and real images.