This is a x4 LR counterpart to the BHI SISR Dataset.
SCREENSHOT HERE
To create this dataset, a 0.25 scaling (or x4 scaling) has been applied, with multiple scaling algorithms in a randomized manner.
The algos used are linear, cubic_mitchell, lanczos, gauss, box and down_up (with these algos).
The specifically applied degradation for each image can be found in the applied_degradations.txt file
The trained model learns to handle multiple scalings, and also these… See the full description on the dataset page:
https://huggingface.co/datasets/Phips/BHI_LR_multi.
