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? ：）~
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? ：）~