In this example, we use Adobe Photoshop's bicubic interpolation to simulate the circuitry of a Bayer filter device such as a digital camera.
These algorithms are examples of multivariate interpolation on a uniform grid, using relatively straightforward mathematical operations on nearby instances of the same color component.
[4] More sophisticated demosaicing algorithms exploit the spatial and/or spectral correlation of pixels within a color image.
[5] Spatial correlation is the tendency of pixels to assume similar color values within a small homogeneous region of an image.
Spectral correlation is the dependency between the pixel values of different color planes in a small image region.
These algorithms include: It has been shown that super-resolution and demosaicing are two faces of the same problem and it is reasonable to address them in a unified context.
Therefore, especially in the case of video (multi-frame) reconstruction, a joint super-resolution and demosaicing approach provides the optimal solution.
The color artifacts due to demosaicing provide important clues for identifying photo forgeries.