Subwavelength Bayer RGB color routers with perfect optical efficiency

Increase Efficiency of SURF using RGB Color Space

SURF is one of the most robust local invariant feature descriptors. SURF is implemented mainly for gray images. However, color presents important information in the object description and matching tasks as it clearly in the human vision system. Many objects can be unmatched if their color contents are ignored. To overcome this drawback this paper proposed a method CSURF (Color SURF) that combin...

Bayer Demosaicking Using Optimized Mean Curvature over RGB channels

Color artifacts of demosaicked images are often found at contours due to interpolation across edges and cross-channel aliasing. To tackle this problem, we propose a novel demosaicking method to reliably reconstruct color channels of a Bayer image based on two different optimized mean-curvature (MC) models. The missing pixel values in green (G) channel are first estimated by minimizing a variati...

RGB Color Spaces

Color measurement with an RGB camera

A review of technical papers on the subject of the accuracy of RGB to CIELAB conversion is provided. In general, these papers concentrate on a single limiting factor, the spectral response of the camera. Even with the assumption that all other parts of the system contribute insignificantly to the error, the accuracy reported is still considerably worse than one would like from a color measureme...

Reversible color transform for Bayer color filter array images

In this paper, we propose a reversible color transform (RCT) for color images acquired through a Bayer pattern color filter array. One existing RCT with fixed coefficients is simple to implement. However, it is not adaptive to each of input images. Another existing RCT based on eigenvector of covariance matrix of color components, which is equivalent to Karhunen–Loève transform (KLT), is adapti...