aapo lettinen Posted March 1, 2021 Share Posted March 1, 2021 1 hour ago, Ryan Emanuel said: When you say digital can't match film, you are really saying there does not exist a function that can transform digital camera RGB color space, into film color space, it can't even be approximated. You are saying that there is nothing in computational geometry, supervised machine learning, or vector field interpolation that can solve the problem. That's probably not true, harder problems have been solved or approximated. A data scientist would probably say this problem is a piece of cake, DP's just need to talk to the right people. it is not about taking digital image and trying to add a varying amount of "film look" over it. The whole point of the "film look" is having a more or less imperfect image and then appreciating it as is or even enhancing the effect. The whole idea of digital image capture is to make "as real as possible" representation of the reality and adding imperfections over digital image just makes it crappy digital image. It is like looking the reality through a dirty and dusty window, trying to see what is going on outside. Most of the audience would rather have the window cleaned so that they could just see better what is going on... Personally I only add "film grain" or other imperfections on a digital image if there is VFX or other stuff which needs to be hidden so that the audience is not distracted by it. For that use the "film emulation" works pretty well and helps selling the VFX much better so that the audience can concentrate on the story. Otherwise I rather appreciate both image capturing methods as is, trying to take advantage of their differences rather than trying to hide them (trying to hide the differences just leads the end result being mediocre and dull, being half something half nothing like a raw image which is not graded yet) Quote Link to comment Share on other sites More sharing options...
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