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can not reproduce SNN result on kodak dataset #2
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Real images are clipped between 0 and 1 (and noise statistics is consequently altered because of saturation), can you try with: img_n = max(0, min(1, img + randn(size(img)) * sigma)); |
Hi. @ifrosio. Thanks very much for your quick reply. |
If I remember well, PSNR reported in Fig. 1 should be referred to the patches shown in Fig. 1, not the entire image. In the additional material, you may find full images, but we are not reporting PSNR. |
okay. But the code I use is the correct one, right? |
Supplemental material is in the media section on IEEE: https://ieeexplore.ieee.org/document/8463600/media As for the residual color artifacts, please check this part of the code:
parameters in nlmTest.m were optimized for the testing script, not necessarily for the Kodak dataset. You can try changing these parameters to see if the result improves. Sorry I do not have time right now to go back in my files looking for the optimal parameters - I may have more time in the next days. |
awesome! Thank you. Looking forward to it. |
Hi SNN team,
Thanks for releasing the code.
However, when I run the code under NLM. I cannot reproduce the result shown in Fig. 1 in the paper. For example, NLM_{0.8}^{16} achieves 31.01 PSNR as shown in Fig. 1. But the result I have is only 30.8.
Did I misunderstand something related to the code?
I revise the NLM/nlmTest.m by adding the imread code here. I used the default parameters.
The PSNR I have is 30.8 using SNN.
Also, there are a lot of color artifacts in the eyes (which is different from the paper).
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