Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105914
Abstract: Previous deep learning-based super-resolution (SR) methods rely on the assumption that the degradation process is predefined (e.g., bicubic downsampling). Thus, their performance would suffer from deterioration if the real degradation is not consistent with the… read more here.
Keywords: distortion specific; super resolution; resolution; degradation ... See more keywords
Distortion-specific feature selection algorithm for universal blind image quality assessment
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Image and Video Processing"
DOI: 10.1186/s13640-018-0392-5
Abstract: Blind image quality assessment (BIQA) aims to use objective measures for predicting the quality score of distorted images without any prior information regarding the reference image. Several BIQA techniques are proposed in literature that use… read more here.
Keywords: quality; distortion; image; distortion specific ... See more keywords