Cascaded Degradation-Aware Blind Super-Resolution [PDF]
Sensors, 2023 Image super-resolution (SR) usually synthesizes degraded low-resolution images with a predefined degradation model for training. Existing SR methods inevitably perform poorly when the true degradation does not follow the predefined degradation ...
Ding Zhang +3 more
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Blur Kernel Estimation and Non-Blind Super-Resolution for Power Equipment Infrared Images by Compressed Sensing and Adaptive Regularization [PDF]
Sensors, 2021 Infrared sensing technology is more and more widely used in the construction of power Internet of Things. However, due to cost constraints, it is difficult to achieve the large-scale installation of high-precision infrared sensors.
Hongshan Zhao +2 more
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Research on Blind Super-Resolution Technology for Infrared Images of Power Equipment Based on Compressed Sensing Theory [PDF]
Sensors, 2021 Infrared images of power equipment play an important role in power equipment status monitoring and fault identification. Aiming to resolve the problems of low resolution and insufficient clarity in the application of infrared images, we propose a blind ...
Yan Wang +3 more
doaj +2 more sources
Blind Super-Resolution With Iterative Kernel Correction [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Deep learning based methods have dominated super-resolution (SR) field due to their remarkable performance in terms of effectiveness and efficiency. Most of these methods assume that the blur kernel during downsampling is predefined/known (e.g., bicubic).
Gu, Jinjin +3 more
openaire +4 more sources
High-speed blind structured illumination microscopy via unsupervised algorithm unrolling [PDF]
Nature CommunicationsBlind structured illumination microscopy (blind-SIM) is a valuable tool for achieving super-resolution without the need for known illumination patterns.
Zachary Burns +4 more
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Deep Blind Super-Resolution for Satellite Video
IEEE Transactions on Geoscience and Remote Sensing, 2023 Comment: Published in IEEE ...
Yi Xiao +3 more
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SpiDe-Sr: blind super-resolution network for precise cell segmentation and clustering in spatial proteomics imaging. [PDF]
Nat CommunSpatial proteomics elucidates cellular biochemical changes with unprecedented topological level. Imaging mass cytometry (IMC) is a high-dimensional single-cell resolution platform for targeted spatial proteomics.
Chen R +7 more
europepmc +2 more sources
Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation
Journal of Engineered Fibers and FabricsIn the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets.
Ning Dai +6 more
doaj +2 more sources
Enhancing fetal ultrasound image quality and anatomical plane recognition in low-resource settings using super-resolution models [PDF]
Scientific ReportsSuper-resolution (SR) techniques present a suitable solution to increase the image resolution acquired using an ultrasound device characterized by a low image resolution. This can be particularly beneficial in low-resource imaging settings.
Hafida Boumeridja +8 more
doaj +2 more sources
Inf-OSRGAN: Optimized Blind Super-Resolution GAN for Infrared Images
Applied SciencesWith the widespread application of infrared technology in military, security, medical, and other fields, the demand for high-definition infrared images has been increasing.
Zhaofei Xu +3 more
doaj +2 more sources