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An Adaptive Super-Resolution Network for Drone Ship Images. [PDF]
Entropy (Basel)Li H, Xiong W, Cui Y, Yao L.
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Structure-preserving super-resolution of retinal fundus images via a dual-transformer residual network. [PDF]
Front Med (Lausanne)Pazo EE +6 more
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Current-Aware Temporal Fusion with Input-Adaptive Heterogeneous Mixture-of-Experts for Video Deblurring. [PDF]
Sensors (Basel)Zhang Y, Zhao Z, Namiki A.
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Design of Multiple Focal Spots for High-Resolution CT. [PDF]
Proc SPIE Int Soc Opt EngStayman JW, Fan Y, Jiang X, Gang GJ.
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2020 IEEE International Conference on Image Processing (ICIP), 2020
Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most common forms are simple uniform distributions with domain constraints.
Filip Sroubek, Jan Kotera
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Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most common forms are simple uniform distributions with domain constraints.
Filip Sroubek, Jan Kotera
openaire +1 more source