The given ground-truth kernels are not compatible with corresponding LR images in DIV2KRK about kernelgan HOT 8 CLOSED

You can use the 'imresize' function in my code which gets the HR and the kernel and downscales it.

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The code provided generates RANDOM kernel, therefore random corresponding LR images. If you want ours, simply use the dataset we provided. Not sure I understand your issue

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I mean that your dataset has also provided 'gt_k_x2' and 'gt_k_x4', but I can not re-generate the dataset with your provided kernels. You may have made a mistake about the provided kernels in your dataset.

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What function are you using to get the LR from the HR+kernel?

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fileter.correlate(), the same as your provided code.

from kernelgan.

Hi, @greatlog. Did you get the consistent LR?
I try to get LR using the following code. However, it does not match LR provided in official DIV2KRK.

ker = sio.loadmat("e:/Dataset/SR/DIV2KRK/gt_k_x2/kernel_1.mat")['Kernel']
hr = cv2.imread("e:/Dataset/SR/DIV2KRK/gt/img_1_gt.png")
lr = cv2.imread("e:/Dataset/SR/DIV2KRK/lr_x2/im_1.png")
lr_my = imresize(hr, 1/2, kernel=ker)
err = np.mean(np.abs(np.float32(lr) - np.float32(lr_my)))

err: 2.51
@sefibk May you offer me some help. Thank you so much.

from kernelgan.

Hi, @greatlog. Did you get the consistent LR?
I try to get LR using the following code. However, it does not match LR provided in official DIV2KRK.

ker = sio.loadmat("e:/Dataset/SR/DIV2KRK/gt_k_x2/kernel_1.mat")['Kernel']
hr = cv2.imread("e:/Dataset/SR/DIV2KRK/gt/img_1_gt.png")
lr = cv2.imread("e:/Dataset/SR/DIV2KRK/lr_x2/im_1.png")
lr_my = imresize(hr, 1/2, kernel=ker)
err = np.mean(np.abs(np.float32(lr) - np.float32(lr_my)))

err: 2.51
@sefibk May you offer me some help. Thank you so much.

I can not get the consistent LR either. There seems to be some slight bias in the provided kernels or the processing method. This slight difference may not cause visual differences, however, it may heavily influence the results of a neural model. I have not fixed the problem yet. So I did not use the provided kernels as GT kernels.

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Weird - IDK exactly why.
I was not the one that created this dataset.
You can find a detailed Git repo for the dataset here - https://github.com/assafshocher/BlindSR_dataset_generator

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