Open 15210909974 opened 2 years ago
There is some functionality like this hidden in the code enabled via the _isTestMode
variable, but I don't remember any details about it or how to use it... I'll leave that up to you to explore ;)
I also posted the New York RAW images some time ago here: https://1drv.ms/u/s!Ar0iioVf9NOfhI5JEUXMXlyiznBAzg?e=xNQCGu
There is some functionality like this hidden in the code enabled via the
_isTestMode
variable, but I don't remember any details about it or how to use it... I'll leave that up to you to explore ;) I also posted the New York RAW images some time ago here: https://1drv.ms/u/s!Ar0iioVf9NOfhI5JEUXMXlyiznBAzg?e=xNQCGu
got it~ thx a lot! I'll try it ><
Hi! Thank you so much for your sharing of the implementation and correction of Google's Handheld Multi-Frame Super-Resolution algorithm. I struggled with this paper for a long time......
I was going to try this algorithm on my computer, but unfortunately, I don't have Google Pixel or SLR to get a burst of the RAW picture. And I found that the paper part 6.1 mentioned that they created synthetic image bursts by: generate a set of random offsets (Bivariate Gaussian distribution with a standard deviation of two pixels) resample the image using nearest-neighbor interpolation create a Bayer mosaic (discard 2/3 color channels)
But I failed to get the expected results... I just wonder whether you create these synthetic image bursts and if you'd like to post the code for creating synthetic image bursts on your Github? :)~