BSD100

doi:doi:10.57702/1q8tisn9

BSD100

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

BibTex:

@dataset{Jinjin_Gu_and_Hannan_Lu_and_Wangmeng_Zuo_and_Chao_Dong_2024,
    abstract = {The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.},
    author = {Jinjin Gu and Hannan Lu and Wangmeng Zuo and Chao Dong},
    doi = {10.57702/1q8tisn9},
    institution = {No Organization},
    keyword = {'BSD100', 'Blind Image Super-Resolution', 'Blind Super-Resolution', 'Deep Learning', 'Gaussian Blur', 'HR images', 'Image Classification', 'Image Denoising', 'Image Restoration', 'Image Super-Resolution', 'LR images', 'dataset', 'high-resolution', 'image', 'image annotation', 'image classification', 'image denoising', 'image reconstruction', 'image retrieval', 'image super resolution', 'image super-resolution', 'low-resolution', 'object detection', 'single image super-resolution', 'variational degradations'},
    month = {dec},
    publisher = {TIB},
    title = {BSD100},
    url = {https://service.tib.eu/ldmservice/dataset/bsd100},
    year = {2024}
}