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
PCA-based spatially adaptive denoising of CFA images for single-sensor digital cameras
IEEE Transactions on Image Processing
Regularization approaches to demosaicking
IEEE Transactions on Image Processing
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
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
Joint demosaicing and denoising
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
Spatio-Spectral Color Filter Array Design for Optimal Image Recovery
IEEE Transactions on Image Processing
Color image demosaicking: An overview
Image Communication
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In a digital camera usually images are captured using a Color Filter Array (CFA), requiring a demosaicking process to reconstruct the full resolution color image. Often also a denoising step is necessary to remove the noise introduced by the sensor. In this paper we analyze demosaicking and denoising jointly. The color reconstruction is performed using space-varying filters, therefore an evaluation of the autocorrelation of the noise after a space varying filtering is reported. The proposed approach gives good performances and the computational cost is kept low.