We are about to switch to a new forum software. Until then we have removed the registration on this forum.
Hello. I want to implement on Python an algorithm of tonal stabilization for video from the paper: http://www.cs.huji.ac.il/labs/cglab/projects/tonestab/files/TonalStabilization-final.pdf
But I don't fully understand the space color in which the author working. I understand, that I have to normalize the three RGB channel with the Luminance channel: L= R+G+B
R=R/L G=G/L B=B/L
By doing so, the author separate between Luminance and Chroma. That's I think I get it. And here their idea, and what I don't understand:
they represent the change at each pixel as one offset for the log luminance, which is log(R+G+B) or log (R)+log(G) + log( B) ? and two offset for the chroma 2 chroma channels, which are R/L and G/L ? Can you also explain to me how this represents an exposure correction ? Moreover, to initialise the adjustment Map,they say that for the pixel which have a very few difference (say <0.05) in intensity between 2 frames, f1 and f2, the correction consist to add the corresponding difference f1-f2 to the map. Ok, but then how do I add that to the log luminance, and chroma channel ?
Sorry for my poor english and don't hesitate to ask me for more precision in my request