Predicting lux values from images?

asked 2018-09-14 05:57:14 -0500

muglikar gravatar image

I have several images (frames from a camera approx. 25,000 images) for which I have one unique lux value ranging from 1 to 110,000). Not all the lux values are covered from 1 to 110,000. Now, I need to predict the lux values in real-time for the same camera once every second, especially predicting the low lux values (1 to 6) are of prime importance.

How do I do it?

I have found one link where there's piecewise relation shown between lighting step (don't understand what the author means by that) and mean lux values here in the second graph (https://docs.microsoft.com/en-us/wind...).

Should I do plain linear regression on these sparse values? If yes, how does that work? Any guide or link will be helpful. Or string together a piecewise linear set of equations to predict the lux values from mean intensities of my frames?

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Comments

and how would this be related to opencv ?

berak gravatar imageberak ( 2018-09-14 06:16:39 -0500 )edit

OpenCV has image processing and machine learning modules.

muglikar gravatar imagemuglikar ( 2018-09-18 03:20:42 -0500 )edit

so, what is the purpose of it ? what are you trying to achieve ?

it's not really a computer-vision problem.

and the link refers to ambient light responsive UI

i also think, you need some information about the sensor for this

berak gravatar imageberak ( 2018-09-18 03:27:11 -0500 )edit