Comments (3)
cszn
commented on June 30, 2024
1
from scipy import ndimage
img_blurry = ndimage.filters.convolve(img_H, np.expand_dims(kernel, axis=2), mode='wrap')
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Ethean
commented on June 30, 2024
Thanks you for replying me. I am still confused that the kernel in code is the real kernel used to super resolve the blur image? If not, how can I get the kernel? Thanks in advance!
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Ethean
commented on June 30, 2024
Oh, I get you. You mean I should generate the lr image in this way, then test the model on the synthesised images.
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Related Issues (16)
- Release training codes? HOT 2
- C++ version
- Test model problem HOT 2
- main_test_dpsr problems HOT 1
- The kernel appears to have died. It will restart automatically. HOT 1
- 请问该如何加载tensorflow代码训练出的模型呢
- How do I generate blur image using your kernels? HOT 1
- Use HOT 14
- Can you tell the source code of the training? HOT 1
- The test result show artfacts HOT 3
- How do you derive formula 9? HOT 2
- 利用自己的数据去测试，效果很差，这是什么原因呢 HOT 11
- About dataset HOT 3
- Training code HOT 1
- Estimated Blur Kernel
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