New research on random color filter arrays
New research on random color filter arrays
Last few years have seen some serious research on random RGB Color Filter Arrays (CFA). In 2009, a French scientist, Laurent Condat, proposed a random RGB CFA in L. Condat, “A NEW RANDOM COLOR FILTER ARRAY WITH GOOD SPECTRAL PROPERTIES,” IEEE Transactions on Image Processing, 2009. This CFA was designed to optimize performance of the demosaickers available then.
While this was a big step forward the result was not competitive with Bayer. Subsequently, in 2011, a co-author and I presented a improved demosaicker in Singh, T and Singh, M, "Disregarding Spectral Overlap - A Unified approach for Demosaicking, Compressive Sensing and Color Filter Array Design," in Proc. of IEEE ICIP (2011). When combined with Laurent Condat's Random RGB CFA this algorithm outperforms Bayer systems demosaicked with the best of the published algorithms. As expected, the random RGB system shows remarkable resistance to aliasing. It does so by randomizing the aliased signal, making it look and behave like noise.
For more information and test images see this page.
Disclosure: This work is in the last stages of research now, and we plan to commercialize it in the near future.
New research on random color filter arrays
Last few years have seen some serious research on random RGB Color Filter Arrays (CFA). In 2009, a French scientist, Laurent Condat, proposed a random RGB CFA in L. Condat, “A NEW RANDOM COLOR FILTER ARRAY WITH GOOD SPECTRAL PROPERTIES,” IEEE Transactions on Image Processing, 2009. This CFA was designed to optimize performance of the demosaickers available then.
While this was a big step forward the result was not competitive with Bayer. Subsequently, in 2011, a co-author and I presented a improved demosaicker in Singh, T and Singh, M, "Disregarding Spectral Overlap - A Unified approach for Demosaicking, Compressive Sensing and Color Filter Array Design," in Proc. of IEEE ICIP (2011). When combined with Laurent Condat's Random RGB CFA this algorithm outperforms Bayer systems demosaicked with the best of the published algorithms. As expected, the random RGB system shows remarkable resistance to aliasing. It does so by randomizing the aliased signal, making it look and behave like noise.
For more information and test images see this page.
Disclosure: This work is in the last stages of research now, and we plan to commercialize it in the near future.