The proposed CFA best works with rectangular pixels with aspect ratio 1.41:1 and has 4 colors, each of them is a linear combination of red, green and blue:
Although the physical pixels are rectangular, the color image processing seems to convert them in usual square-shaped pixels.
In comparison with the Bayer CFA with the same pixel count, same resolution, same chrominance bandwidth and demosaicked with the popular AHD algorithm, the proposed pattern is claimed to have the following advantages:
- 7.6dB PSNR improvement on the Kodak image set
- Even greater, 10dB PSNR, improvement on realistic images
- Greatly reduced artifacts
- One quarter as much increase in MSE due to noise. This is because of:
a. lighter filter colors that let in more light
b. no directional sensing algorithms to get confused by noise
c. numerically stable demosaicing, unlike CMY patterns
- Uniform quantum efficiency - hence resistant to sensor saturation
- Low complexity demosaicing using separable filters, can be used in phone camera video
- Simple noise characterization resulting in more effective post demosaicking noise reduction
- Chromatic Aberration correction can be performed after demosaicing with an order of magnitude less increase in MSE than Bayer
The main principles of the proposed CFA-pixel-algorithm combination are discussed in SPIE IS&T Electronic Imaging 2011 paper here.