Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
NETLAB: algorithms for pattern recognition
NETLAB: algorithms for pattern recognition
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Super-Resolution from Image Sequences - A Review
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
Image Mosaicing and Super-Resolution (Cphc/Bcs Distinguished Dissertations.)
Image Mosaicing and Super-Resolution (Cphc/Bcs Distinguished Dissertations.)
Overcoming registration uncertainty in image super-resolution: maximize or marginalize?
EURASIP Journal on Advances in Signal Processing
Bayesian Methods for Image Super-Resolution
The Computer Journal
SoftCuts: a soft edge smoothness prior for color image super-resolution
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Regularization approaches to demosaicking
IEEE Transactions on Image Processing
Robust color demosaicking with adaptation to varying spectral correlations
IEEE Transactions on Image Processing
Direct super-resolution and registration using raw CFA images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Penrose Pixels for Super-Resolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Noise suppression in low-light images through joint denoising and demosaicing
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Color plane interpolation using alternating projections
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Adaptive homogeneity-directed demosaicing algorithm
IEEE Transactions on Image Processing
Multiframe demosaicing and super-resolution of color images
IEEE Transactions on Image Processing
Sparse Representation for Color Image Restoration
IEEE Transactions on Image Processing
Variational Bayesian Super Resolution
IEEE Transactions on Image Processing
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Reconstruction based algorithms play an important role in the multi-frame super-resolution problem. A group of images of the same scene are fused together to produce an image with higher spatial resolution, or with more visible details in the high spatial frequency features. Demosaicing algorithms interpolate missing pixels in a raw image taken from one Charged Coupled Device (CCD) array, upsampling the number of the pixels present in the image. Since super-resolution (SR) and demosaicing are the two faces of the same problem it is natural to address them together. In this paper it is: (i) shown that correct modelling of the Bayer pattern in the generative process improves the super-resolution performance for colour images, and (ii) an algorithm that incorporates the two colour prior into the probabilistic model is designed. The algorithm presented in this paper focuses on the classes of images that have two dominant colours, i.e. most of the areas in the image are uniformly coloured. A convex optimization procedure for joint super-resolution and demosaicing is developed which outperforms state-of-the-art algorithms.