On color transforms and bit allocation for optimal subband image compression
Image Communication
Color image coding using regional correlation of primary colors
Image and Vision Computing
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
On the Approximation of Inner Products From Sampled Data
IEEE Transactions on Signal Processing
Effective use of spatial and spectral correlations for color filter array demosaicking
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
Demosaicing by successive approximation
IEEE Transactions on Image Processing
Color demosaicking via directional linear minimum mean square-error estimation
IEEE Transactions on Image Processing
Color Demosaicing Using Variance of Color Differences
IEEE Transactions on Image Processing
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Most demosaicing algorithms today are based on first reconstructing the green (G) color component followed by the reconstruction of the red (R) and the blue (B) components using the green. This approach and associated methods of using the differences R-G and B-G are arbitrary and in most cases not optimal. Instead, we propose optimal color spaces for demosaicing. Our optimization is based on energy compactness and smoothness of the color components. We compare the performance of the proposed algorithms to presently available demosaicing methods and show that the new approaches are superior both visually and quantitatively. Our conclusion is that the new color spaces improve the performance of demosaicing algorithms.