IsaacKuo
Member
Another Sensor idea?
It occurs to me that the current sensors filter away more light than they really have to. Instead of the Bayer pattern RGB filter, how about this alternate filter:
W Y W Y W Y
C W C W C W
W Y W Y W Y
C W C W C W
W Y W Y W Y
C W C W C W
W Y W Y W Y
C W C W C W
The filters are white (no filter), yellow (lets in green and red), and cyan (lets in green and blue). This is "demosaiced" by the formula:
Red = W-C
Green = C+Y-W
Blue = W-Y
Where W, Y, and C are the white, yellow, and cyan sensor values. For each pixel, one of these will be a straight CCD value while the others will be averages of the 4 neighbors.
Luminance is R+G+B = (W-C)+(C+Y-W)+(W-Y) = W. This essentially means that maximum resolution is given to luminance, while chroma has half its resolution. This is what jpeg compression does first anyway, and for the good reason that human vision is more sensitive to luminance resolution than chroma resolution.
The resolution qualities are essentially similar to Bayer pattern RGB filtering.
The advantage, I think, is that it will capture more light than a normal RGB filter. This should translate to better sensitivity and lower noise, right?
Am I missing something? Is there some reason why traditional RGB filters are superior to this?
--
Isaac Kuo
It occurs to me that the current sensors filter away more light than they really have to. Instead of the Bayer pattern RGB filter, how about this alternate filter:
W Y W Y W Y
C W C W C W
W Y W Y W Y
C W C W C W
W Y W Y W Y
C W C W C W
W Y W Y W Y
C W C W C W
The filters are white (no filter), yellow (lets in green and red), and cyan (lets in green and blue). This is "demosaiced" by the formula:
Red = W-C
Green = C+Y-W
Blue = W-Y
Where W, Y, and C are the white, yellow, and cyan sensor values. For each pixel, one of these will be a straight CCD value while the others will be averages of the 4 neighbors.
Luminance is R+G+B = (W-C)+(C+Y-W)+(W-Y) = W. This essentially means that maximum resolution is given to luminance, while chroma has half its resolution. This is what jpeg compression does first anyway, and for the good reason that human vision is more sensitive to luminance resolution than chroma resolution.
The resolution qualities are essentially similar to Bayer pattern RGB filtering.
The advantage, I think, is that it will capture more light than a normal RGB filter. This should translate to better sensitivity and lower noise, right?
Am I missing something? Is there some reason why traditional RGB filters are superior to this?
--
Isaac Kuo