Color Processing in Digital Cameras
IEEE Micro
Effective use of spatial and spectral correlations for color filter array demosaicking
IEEE Transactions on Consumer Electronics
Advanced demosaicing methods based on the changes of colors in a local region
IEEE Transactions on Consumer Electronics
Demosaicing: image reconstruction from color CCD samples
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
Demosaicing With Directional Filtering and a posteriori Decision
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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Most digital cameras use a color filter array of mosaic pattern to capture the colors of the scene. To render a full-resolution color image using a singlechip camera, the missing information must be estimated from the surrounding pixels. In this paper, we present an edge-adaptive demosaicking method for color demosaicking. The algorithm first estimate missing green samples in red and blue position by determining direction of edge in horizontal, vertical and diagonal directions. After determining the green samples, missing red and blue samples estimated using color differences along the direction of edges. Experimental results demonstrate that the proposed method produces visually pleasing images and significantly outperforms existing demosaicking methods in terms peak signal-tonoise ratio (PSNR) and ΔEab, which is a measure for the average color distance between original and demosaicked images in the CIELAB color space.