Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Demosaicing of Colour Images Using Pixel Level Data-Dependent Triangulation
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Practical implementation of LMMSE demosaicing using luminance and chrominance spaces
Computer Vision and Image Understanding
A novel cost effective demosaicing approach
IEEE Transactions on Consumer Electronics
Data adaptive filters for demosaicking: a framework
IEEE Transactions on Consumer Electronics
Color filter arrays: design and performance analysis
IEEE Transactions on Consumer Electronics
Highly effective iterative demosaicing using weighted-edge and color-difference interpolations
IEEE Transactions on Consumer Electronics
Demosaicing: image reconstruction from color CCD samples
IEEE Transactions on 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
Demosaicing using optimal recovery
IEEE Transactions on Image Processing
Adaptive homogeneity-directed demosaicing algorithm
IEEE Transactions on Image Processing
Demosaicing by successive approximation
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
Color Demosaicing Using Variance of Color Differences
IEEE Transactions on Image Processing
Effective color interpolation in CCD color filter arrays using signal correlation
IEEE Transactions on Circuits and Systems for Video Technology
Demosaicked image postprocessing using local color ratios
IEEE Transactions on Circuits and Systems for Video Technology
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A fast and effective iterative demosaicking algorithm is described for reconstructing a full-color image from single-color filter array data. The missing color values are interpolated on the basis of optimization and projection in different frequency bands. A filter bank is used to decompose an initially interpolated image into low-frequency and high-frequency bands. In the low-frequency band, a quadratic cost function is minimized in accordance with the observation that the low-frequency components of chrominance slowly vary within an object region. In the high-frequency bands, the high-frequency components of the unknown values are projected onto the high-frequency components of the known values. Comparison of the proposed algorithm with seven state-of-the-art demosaicking algorithms showed that it outperforms all of them for 20 images on average in terms of objective quality and that it is competitive with them from the subjective quality and complexity points of view.