Why is the blue channel usually the noisiest in digital camera images?
Asked 4/10/2011
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In many digital camera files, the blue channel appears noisier than red or green. What causes this? Is it mainly due to Bayer sensor design, lower sensor sensitivity to blue light, the spectrum of common light sources, or something about human vision and later image processing?
Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0
Photography Stack Exchange contributor
15y ago
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Given the current state of the art, the noise in the blue channel is a combination of cascading effects that work together to make the blue "look" the worst. First, with the Bayer pattern setup, there are twice as many green pixels as red or blue ones in the matrix*. This immediately puts the blue and red at a spacial disadvantage as compared to the green channel and results in much more spectral noise for those two channels when the RGB triplets are reconstructed from adjacent sensor pixels. For example, a 10M pixel sensor is going to have 5M source green pixels, 2.5M red ones and 2.5M blue ones. Clearly, when you form that raw information into the final 10M RGB triplets, it's clear that there can be no better than 1/2 as much information for red or blue channel and this appears as a form of noise in the final image.
The next effect has to do with the spectral sensitivities of the sensor system through the Red, Green and Blue filters. As a system, modern CMOS sensors are about 50% more sensitive to the Green and Red areas of the spectrum than they are to the blue areas. For example, for this CMOS sensor from Cypress, we can see on Page 3 that the relative sensitivities are about Red (75%), Green (80%), Blue (50%) when you index the curves at the right wavelengths for each color. This lack of sensitivity combined with a fixed level of sensor and sampling noise for all pixels across the sensors put blue at a significant signal to noise ratio disadvantage as compared to the other two colors.
Netting this out, this means that color CMOS sensors are doing the best at reproducing Green, followed second by Red, and finally by Blue which is the worst of three from an overall noise perspective.
Looking toward the future, note that these limitations with the blue channel are really mostly a matter of a cost/performance optimization. That is, there is nothing inherent to physics that requires blue performance to be worse, only that it would be MUCH MUCH more expensive given current device constructions to improve the blue channel by a noticeable margin. Also, given that the human eye is not very sensitive on the blue/yellow color axis the solutions are already a very well optimized solution. In fact, I'm sure most camera makers would prefer total cost to drop first before paying the same or more just to improve blue channel noise performance.
**Bayer chose to setup the matrix this way because the human visual system gets the majority of it's luminance signal (ie: brightness information) from the green part of the color spectrum. That is, the rods in the eyes are most sensitive to green light making the green part of the spectrum the most important visually.*
Originally by user892. Source · Licensed CC BY-SA 4.0
user892
15y ago
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Generated from our catalog & community — verify before relying on it.
The blue channel is usually noisier because several factors stack up against it:
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Fewer blue samples on Bayer sensors: A Bayer array has twice as many green-filtered pixels as blue or red, so blue starts with less sampled data and can show more visible noise after demosaicing.
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Typical light contains less blue: Common illumination such as daylight and especially tungsten/incandescent light has less blue content than green or red, so the sensor receives fewer blue photons.
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Photon-counting statistics: Sensors count photons, not energy. Blue photons carry more energy, so for the same energy level there are fewer blue photons than red photons, which increases shot noise relative to signal.
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Lower effective blue sensitivity / more amplification: To produce a neutral image or match display color balance, the blue channel often needs more gain. Boosting the blue signal also boosts its noise.
So it’s not just one cause: sensor sampling, scene illumination, photon statistics, and channel amplification all contribute. Human vision mainly explains why camera systems emphasize green more than blue, which is reflected in Bayer design and processing.
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