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OT question: I am merging (calculating the mean of) 16 short exposures of a night photo with high ISO in order to remove noise and get wonderful night shots. N
by thyselius 9y ago
OT question:
I am merging (calculating the mean of) 16 short exposures of a night photo with high ISO in order to remove noise and get wonderful night shots.
Now I'm just averaging
pixelvalue = (photo1.pixelvalue + photo2.pixelvalue) / numPhotos
Is there a way to make this smarter with a bayesian approach? I'm thinking it couldmake a smarter guess what the actual pixelvalue should be rather than just the average.
Any ideas would be appreciated!
- Houshalter 9y agoMedian would probably be better because outlier pixels could distort the mean. But how would you use a Bayesian approach? What exactly are you trying to predict? What are the inputs? What is the model?
- balnaphone 9y agoSee https://scholar.google.com/scholar?hl=en&q=COMPARAMETRIC+IMAGE+COMPOSITING%3A+COMPUTATIONALLY+EFFICIENT+HIGH+DYNAMIC+RANGE+IMAGING+&btnG=&as_sdt=1%2C5&as_sdtp= https://scholar.google.com/scholar?hl=en&q=COMPARAMETRIC+IMA... This paper discusses exactly the scenario you discuss.