Kodak Moment: Bring in Da Light, Bring in Da Photons
The Yellow Box guys at Kodak in Rochester have just revolutionized digital imaging by introducing a new color filter to replace the Bayer RGB filter developed 30 years ago, and also at Kodak. All single-sensor still- and video-camera vendors use the Bayer array to split the image into red, green, and blue components. Proprietary algorithms combine this data to get chrominance image data while the green channel largely supplies the luminance data. Because the red, green, and blue filters don’t have perfect characteristics, some photons streaming in from the image are lost to the filter and that loss reduces imager sensitivity.

Bayer Filter Array Pattern
John Compton and John Hamilton (billed as Kodak’s Technology Troublemaker and Algorithm Agitator on Kodak’s “A Thousand Nerds” blog) have developed a new filter array pattern that places a clear filter over half of the sensor pixels and red, green, or blue filters over the remaining pixels to produce an RGBW (red, green, blue, white) pattern. The "white" pixels cannot discriminate color (chrominance) but their luminance (light-intensity) sensitivity is maximized. Cameras using this new filter-array pattern will have 1-2 stops more light sensitivity, which translates to lower color noise and faster shutter speeds (fewer blurred images).

RGBW Filter Array Pattern
This new approach to gathering light is very much aligned with the way image-compression standards such as JPEG, MPEG, and H.264 deal with image compression. These standards have always sampled luminance information at a higher rate than chrominance information because the human visual system is more sensitive to luminance than chrominance. Details look better in images that have more luminance detail even if the chrominance detail lags.
Unfortunately, this superior filter array pattern can’t just be dropped into existing camera platform designs. Algorithms created to use Bayer RGB information are wholly unprepared to accept RGBW data. Camera vendors will be scrambling to adapt to this new world. Image-algorithm writers have just had their reset buttons pressed.
The great thing about this new development is that it finds something useful to do with all those extra megapixels we’re getting from CCD and CMOS sensors these days. Like the MHz wars in processors, the megapixel wars have been delivering diminishing returns in image quality because noise levels have been creeping up (due to smaller pixels that receive fewer photons to convert into electrons) while perceived image quality hasn’t been improving very much. This new filter-array pattern should help improve things.
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