Convert Lux to RGB: 4 Values to RGB/Hex Color

In summary: Ir, R , G signals instead of R G B, ignoring the B altogether. Worth trying perhaps; no programming or soldering involved.In summary, the conversation focused on converting optical sensor output in lux to regular RGB (0-255)/hexcolor values. The link provided a formula for this conversion, but it may not be applicable to all equipment. It was suggested to adjust the gains in the four channels of the equipment and to scale the ADC input to get the most dynamic range without limiting or clipping. Lux is a measure of flux weighted by human spectral response, and the ratios of RGB readings will relate to the conversion formula. The discussion also touched on displaying IR values and using
  • #1
noknow
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I have an optical sensor that outputs 4 values in the following format: [ Red, Green, Blue, IR] where each value is in lux. I want to take this output and render a color on my pc. I'm not sure how to convert this into a regular RGB (0-255)/hexcolor value. Is there a good place to start? The data sheet I have on the device doesn't mention anything about a conversion. Many thanks.
 
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  • #2
noknow said:
The data sheet I have

Can you share?

BoB
 
  • #4
noknow said:
I have an optical sensor that outputs 4 values in the following format: [ Red, Green, Blue, IR] where each value is in lux. I want to take this output and render a color on my pc. I'm not sure how to convert this into a regular RGB (0-255)/hexcolor value. Is there a good place to start? The data sheet I have on the device doesn't mention anything about a conversion. Many thanks.
I'm not sure that the above link tells the whole story. It may relate to a particular piece of equipment. I would imagine the gains in the four channels of your equipment should take care of things, largely. Your PC will do the usual thing for displaying RGB signals. (0 - 255)
RGB analogue signals will depend on the sensitivity of the sensor. Once you have established (by measurement or from a spec sheet) the peak voltage that the sensor produces then your ADC input just needs to be scaled so that the peak value gives 256 on one of the channels. That will give you the most dynamic range without limiting / clipping.
Lux is a measure of the flux, weighted by the human spectral response curve so the three RGB signals would all be (roughly) equal for incident white light - depending on the colour temperature of the source. The ratios of your RGB readings will, presumably relate to the formula in that link, above.
I don't know about the IR value as we have no perception of those wavelengths. The IR values you get could vary a lot according to the actual spectrum of sources which could 'appear' the same and have equal RGB values. (I'm coming at this from the point of view of TV colourimetry so IR is not part of that.) To display IR as part of your PC image, you would need some false colour algorithm to shift all the colours in the blue direction and make room for IR to be displayed in the Reds. I found a lot of Google hits for False Colour infra red search terms. This could be unnecessary if you are just interested in the long wavelength of the spectrum - you could just feed your monitor with Ir, R , G signals instead of R G B, ignoring the B altogether. Worth trying perhaps; no programming or soldering involved.

PS Astrophotography links will be a rich source of ideas about false colour rendering.
 
  • #5
Spec sheet for the sensor
sophiecentaur said:
I'm not sure that the above link tells the whole story. It may relate to a particular piece of equipment. I would imagine the gains in the four channels of your equipment should take care of things, largely. Your PC will do the usual thing for displaying RGB signals. (0 - 255)
RGB analogue signals will depend on the sensitivity of the sensor. Once you have established (by measurement or from a spec sheet) the peak voltage that the sensor produces then your ADC input just needs to be scaled so that the peak value gives 256 on one of the channels. That will give you the most dynamic range without limiting / clipping.
Lux is a measure of the flux, weighted by the human spectral response curve so the three RGB signals would all be (roughly) equal for incident white light - depending on the colour temperature of the source. The ratios of your RGB readings will, presumably relate to the formula in that link, above.
I don't know about the IR value as we have no perception of those wavelengths. The IR values you get could vary a lot according to the actual spectrum of sources which could 'appear' the same and have equal RGB values. (I'm coming at this from the point of view of TV colourimetry so IR is not part of that.) To display IR as part of your PC image, you would need some false colour algorithm to shift all the colours in the blue direction and make room for IR to be displayed in the Reds. I found a lot of Google hits for False Colour infra red search terms. This could be unnecessary if you are just interested in the long wavelength of the spectrum - you could just feed your monitor with Ir, R , G signals instead of R G B, ignoring the B altogether. Worth trying perhaps; no programming or soldering involved.

PS Astrophotography links will be a rich source of ideas about false colour rendering.

So my understanding is that lux takes into account the human response/perception of color so I don't need any correction (gamma?) for that. I see that the spec sheet includes min/max counts for RGB but I don't see any max voltage value.
 
  • #6
noknow said:
lux takes into account the human response/perception of color
Yes. It does its best to achieve that for an 'average' observer. I think including a nonlinear factor would not be possible - can you think of how it could be? You need to read more deeply into what is meant by luminosity. The eye is adaptive so how could you chase that?
noknow said:
but I don't see any max voltage value.

The block diagram implies that the sensor outputs go directly to the ADC. Which Voltage are you referring to?
 
  • #7
sophiecentaur said:
Yes. It does its best to achieve that for an 'average' observer. I think including a nonlinear factor would not be possible - can you think of how it could be? You need to read more deeply into what is meant by luminosity. The eye is adaptive so how could you chase that?The block diagram implies that the sensor outputs go directly to the ADC. Which Voltage are you referring to?
I will read up on luminosity more, I'm a little lost. I'm not used to viewing data sheets at all and my background is not in EE.
But I'm trying to figure out the next steps given the data sheet.
 
  • #8
It depends on what you want to achieve. Do you want to produce 'four colour images' with a three colour display' to include IR?
I am still not clear which voltage you refer to as the device appears to produce four digital (8 bit Edit - 16bit) output signals.
 
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  • #9
Having looked at the data sheet I am a bit clearer about what the device does. It will give you RGB values for a particular displayed colour according to (or near) the formula in the link higher up. Afaics, you want to know the RGB values needed to produce a specified colour on the scree in terms of the YUV values?
Formulae for this and the reverse process can be found here. Could that be what you actually need to know?
 
  • #10
sophiecentaur said:
Yes. It does its best to achieve that for an 'average' observer. I think including a nonlinear factor would not be possible - can you think of how it could be? You need to read more deeply into what is meant by luminosity. The eye is adaptive so how could you chase that?The block diagram implies that the sensor outputs go directly to the ADC. Which Voltage are you referring to?
Thank
sophiecentaur said:
Having looked at the data sheet I am a bit clearer about what the device does. It will give you RGB values for a particular displayed colour according to (or near) the formula in the link higher up. Afaics, you want to know the RGB values needed to produce a specified colour on the scree in terms of the YUV values?
Formulae for this and the reverse process can be found here. Could that be what you actually need to know?
I feel like we're getting closer. I want to display the lux values onto my personal site. So it will have to conform to css standards. https://developer.mozilla.org/en-US/docs/Glossary/RGB
RGB are a 3 separate 8 bit integers. Is that enough information?
 
  • #11
Is it as simple as converting a 16 bit value into an 8 bit value?
 
  • #12
noknow said:
Thank
I feel like we're getting closer. I want to display the lux values onto my personal site. So it will have to conform to css standards. https://developer.mozilla.org/en-US/docs/Glossary/RGB
Are you planning to do this manually?

Because I am pretty sure you can find JS plugin libraries that will directly convert YUV to RGB for you on-the-fly.

Here's a Stack Overflow question that should get you started:
https://stackoverflow.com/questions/21264648/javascript-convert-yuv-to-rgb

Alternately, just Google 'JavaScript convert YUV to RGB'.
 

1. What is the purpose of converting Lux to RGB?

Converting Lux to RGB allows us to represent light intensity measurements in a visual form, making it easier to interpret and analyze data related to light levels.

2. How do you convert Lux to RGB?

To convert Lux to RGB, you can use a mathematical formula that takes into account the Lux value and the properties of the RGB color space. Alternatively, you can use online converters or software programs specifically designed for this purpose.

3. What are the 4 values needed to convert Lux to RGB?

The 4 values needed to convert Lux to RGB are red, green, and blue values, as well as the total Lux value. These values are used to determine the appropriate RGB color that represents the Lux measurement.

4. Can Lux be converted to other color spaces besides RGB?

Yes, Lux can be converted to other color spaces such as CMYK, HSL, and HSV. Each color space has its own specific formula for converting Lux to its respective color values.

5. Why is it important to convert Lux to RGB?

Converting Lux to RGB is important because it allows us to visualize and analyze light intensity data in a more intuitive and meaningful way. It also allows for easier comparison and interpretation of data from different sources.

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