Optimally Determined Modified Bayer Color Array for Imagery

Abstract

This paper introduced a problem of the modified Bayer pattern color filter array (CFA). A demosaicking method is also known as color interpolation, which is a digital camera process employed to restore a full-color imagery from an image with missing color information. In general, a CFA pair contains two green pixels and one red and blue pixel (RGGB). However, there exist alternatives such as RRGB or RGBB. In this paper, we study the effect of three different color arrays. Simulation results show that the obtained filters give good performance.

Spatial super-resolution of colored images by micro mirrors

“…Most standard commercial colored cameras use the Bayer format to produce a color image [15]. This format is based on partial sampling of the RGB matrices, and completion of missing pixels by their neighbors [15][16][17]. Our method for improving resolution, which is described above, turns each pixel into several sub-pixels.…”

“…A number of demosaicing methods exist to estimate the full color from a raw Bayer image. Some are based on simple interpolation, while others are more sophisticated and use the information sampled in the image to reconstruct colors more accurately [13][14][15][16][17]. However, when super-resolution methods are used with such detectors, the pixel order in the matrix changes, and color reconstruction is no longer a simple process.…”