Alien
Alien
Hi, I want to know how to divide the training data and testing data in SMID, SDSD and SID, which means the number of training data and testing data.
SURE, you deserve it! Thanks for your link, I have found it in file install.md.
Hi, I have an additional question about [MIPI competition data](https://codalab.lisn.upsaclay.fr/competitions/17017#learn_the_details). I find the checkpoint of NAFNet did not work for MIPI data as follows:  But the Unet works: ...
😂😂Could you please clarify if different network architectures have a significant impact on performance for the SID or ELD datasets? I haven't come across corresponding tables.
Hello, Apologies for the delayed response. I've cloned the repository and retrained the model locally, and it successfully achieves the similar results outlined in the paper. You may wish to...
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归一化不是等比
> Amplitude_L乘以一个常数后，所有像素点的幅值都等比变大，可视化图像的时候再归一化到0-255，那等比变大再变小，效果不是一样吗？怎么会变亮呢？ 类似地 直接放大低光照空域图像归一化后也是会变亮的
% 读取两幅图像 img1 = im2double(imread('image1.jpg')); % 替换为你的图像文件名 img2 = im2double(imread('image2.jpg')); % 替换为你的图像文件名 % 计算傅里叶变换 F1 = fft2(img1); F2 = fft2(img2); % 获取振幅谱和相位谱 magnitude1 = abs(F1); phase1 = angle(F1); magnitude2 =...