Comments (2)
- Because blurry images in levin datasets are with very low noise levels. After the acceptance, I found that it achieved better results by setting lambda=0. The setting lambda=10 x std is an empecial recommendation, and I cannot guarantee it is optimal choice.
- Yes. SelfDeblur needs to process image one-by-one.
- SelfDeblur may fail to handle high level noisy images, since high level noises may break the convolution blur degradation, which is the basic assumption. For blurry image with std 0.1, SelfDeblur may fail.
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Thanks so much for the reply!
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Related Issues (18)
- the link of download is unvaliable HOT 1
- RuntimeError: CUDA out of memory HOT 2
- RuntimeError: set_storage_offset is not allowed on a Tensor created from .data or .detach(). HOT 2
- Can't find the training set HOT 2
- test HOT 6
- Why is PSNR lower than in the paper ? HOT 1
- About the estimating of blur kernel HOT 6
- TV loss
- Colour image deblurring
- Online/offline image deblur solution HOT 1
- How to get color results? HOT 8
- Pre trained models! HOT 2
- Can you please fix the onedrive link to the trained models? HOT 1
- Possible mismatch for examples from Lai's dataset HOT 1
- where is the pretrained model HOT 1
- cublas runtime error : the GPU program failed to execute at /opt/conda/conda-bld/pytorch_1533672544752/work/aten/src/THC/THCBlas.cu:411 HOT 1
- other fuzzy kernels HOT 1
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