Dataset Groups Activity Stream Urban100 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{Dafeng_Zhang_and_Feiyu_Huang_and_Shizhuo_Liu_and_Xiaobing_Wang_and_Zhezhu_Jin_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 = {Dafeng Zhang and Feiyu Huang and Shizhuo Liu and Xiaobing Wang and Zhezhu Jin}, doi = {10.57702/5qnzu9mt}, institution = {No Organization}, keyword = {'Benchmark Dataset', 'Blind Super-Resolution', 'Denoising', 'Gaussian Blur', 'High Resolution', 'Image Denoising', 'Image Reconstruction', 'Image Restoration', 'Image Super-Resolution', 'Lightweight Network', 'Low Resolution', 'Single Image Super-Resolution', 'Testing', 'Training Dataset', 'Urban100', 'deep learning', 'image degradation', 'image restoration', 'image super-resolution'}, month = {dec}, publisher = {TIB}, title = {Urban100}, url = {https://service.tib.eu/ldmservice/dataset/urban100}, year = {2024} }
