Demosaicing: Image Reconstruction from Color CCD Samples
نویسنده
چکیده
This is a color gure] 2. The Red and Green components of a 1D image. 3. The Red and Green components painted as surfaces in x; y; I with the inverse diiusion (across the edge) and diiusion (along the edge) directions. Original image (before sampling) Reconstruction (bilinear interpolation) Reconstruction (weighted interpolation) Enhancement Original image (before sampling) Reconstruction (bilinear interpolation) Reconstruction (weighted interpolation) Enhancement Original image (before sampling) Reconstruction (bilinear interpolation) Reconstruction (weighted interpolation) Enhancement Original image (before sampling) Reconstruction (bilinear interpolation) Reconstruction (weighted interpolation) Enhancement 11] N Sochen, R Kimmel, and R Malladi. A general framework for low level vision. each case, the top left is the original image. As a reference we present the result of a bilin-ear interpolation for the missing points for each channel separately at the top right. The bottom left is the result of the rst reconstruction by weighted interpolation step, and the bottom right is the second step enhancement result. These are color images, and for a better color view we refer to www.cs.technion.ac.il/ron. The same parameters were used for the reconstruction in all the examples, i.e. case dependent tuning was not used for the diierent images. Acknowledgments I am grateful to Prof. James Sethian for the helpful discussions, and to Dr. Yacov Hel-Or for introducing the problem, the helpful discussions that followed, and supplying the color benchmark images. References 1] D R Cok. Reconstruction of CCD images using template matching.
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Demosaicing: Image Reconstruction from Color CCD Samples
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 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 notic...
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A simpliied 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 rst is motivated by Cok's 1] template matching technique, while the second step uses steerable inverse diiusion in color. Classical linear signal processing techniques tend to over smooth the image and result in notic...
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