SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Digital Picture Processing
Adaptive Window Size Image De-noising Based on Intersection of Confidence Intervals (ICI) Rule
Journal of Mathematical Imaging and Vision
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Spatially adaptive color filter array interpolation for noiseless and noisy data: Articles
International Journal of Imaging Systems and Technology - Special Issue on Applied Color Image Processing
Color plane interpolation using alternating projections
IEEE Transactions on Image Processing
Color filter array demosaicking: new method and performance measures
IEEE Transactions on Image Processing
Adaptive homogeneity-directed demosaicing algorithm
IEEE Transactions on Image Processing
Demosaicing by successive approximation
IEEE Transactions on Image Processing
Linear demosaicing inspired by the human visual system
IEEE Transactions on Image Processing
Color demosaicking via directional linear minimum mean square-error estimation
IEEE Transactions on Image Processing
Multiframe demosaicing and super-resolution of color images
IEEE Transactions on Image Processing
Joint demosaicing and denoising
IEEE Transactions on Image Processing
Improvement of Color Video Demosaicking in Temporal Domain
IEEE Transactions on Image Processing
Demosaicing With Directional Filtering and a posteriori Decision
IEEE Transactions on Image Processing
Color Reproduction From Noisy CFA Data of Single Sensor Digital Cameras
IEEE Transactions on Image Processing
Adaptive Filtering for Color Filter Array Demosaicking
IEEE Transactions on Image Processing
Sparse Representation for Color Image Restoration
IEEE Transactions on Image Processing
Temporal color video demosaicking via motion estimation and data fusion
IEEE Transactions on Circuits and Systems for Video Technology
Exemplar-Based Interpolation of Sparsely Sampled Images
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Self-similarity-based image denoising
Communications of the ACM
MRI superresolution using self-similarity and image priors
Journal of Biomedical Imaging
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
SIAM Journal on Imaging Sciences
Robustness of color interpolation identification against anti-forensic operations
IH'12 Proceedings of the 14th international conference on Information Hiding
Chromatic interpolation based on anisotropy-scale-mixture statistics
Signal Processing
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Demosaicking is the process by which from a matrix of colored pixels measuring only one color component per pixel, red, green, or blue, one can infer a whole color information at each pixel. This inference requires a deep understanding of the interaction between colors, and the involvement of image local geometry. Although quite successful in making such inferences with very small relative error, state-of-the-art demosaicking methods fail when the local geometry cannot be inferred from the neighboring pixels. In such a case, which occurs when thin structures or fine periodic patterns were present in the original, state-of-the-art methods can create disturbing artifacts, known as zipper effect, blur, and color spots. The aim of this paper is to show that these artifacts can be avoided by involving the image self-similarity to infer missing colors. Detailed experiments show that a satisfactory solution can be found, even for the most critical cases. Extensive comparisons with state-of-the-art algorithms will be performed on two different classic image databases.