Title :
Demosaicing: image reconstruction from color CCD samples
Author_Institution :
Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
fDate :
9/1/1999 12:00:00 AM
Abstract :
A simplified color image formation model is used to construct an algorithm for image reconstruction from CCD sensors samples. The proposed method involves two successive steps. The first is motivated by Cok´s (1994) template matching technique, while the second step uses steerable inverse diffusion in color. Classical linear signal processing techniques tend to oversmooth the image and result in noticeable color artifacts along edges and sharp features. The question is how should the different color channels support each other to form the best possible reconstruction. Our answer is to let the edges support the color information, and the color channels support the edges, and thereby achieve better perceptual results than those that are bounded by the sampling theoretical limit
Keywords :
CCD image sensors; edge detection; image colour analysis; image enhancement; image matching; image reconstruction; image sampling; Bayer color filter array pattern; CCD sensors; color CCD samples; color artifacts; color channels; color image formation model; color information; demosaicing; edges; image enhancement; image reconstruction algorithm; linear signal processing; perceptual results; sampling theoretical limit; steerable inverse diffusion; template matching; Charge coupled devices; Color; Digital cameras; Digital images; Filters; Image reconstruction; Image sampling; Image sensors; Signal processing algorithms; Spatial resolution;
Journal_Title :
Image Processing, IEEE Transactions on