Results 11 to 20 of about 441,901 (274)
Super-resolution Ultrasound Imaging [PDF]
Ultrasound in Medicine & Biology, 2020 Ultrasound in medicine & biology 46(4), 865-891 (2020).
Christensen-Jeffries, Kirsten +11 more
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Super resolution for root imaging [PDF]
Applications in Plant Sciences, 2020 PremiseHigh‐resolution cameras are very helpful for plant phenotyping as their images enable tasks such as target vs. background discrimination and the measurement and analysis of fine above‐ground plant attributes. However, the acquisition of high‐resolution images of plant roots is more challenging than above‐ground data collection.
Jose F. Ruiz‐Munoz +4 more
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Structure-Preserving Image Super-Resolution [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Accepted by T-PAMI. Journal version of arXiv:2003.13081 (CVPR 2020)
Cheng Ma +3 more
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Parallel super-resolution imaging [PDF]
Nature Methods, 2013 Massive parallelization of scanning-based super-resolution imaging allows fast imaging of large fields of view.
Yew, Elijah Y S +2 more
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Super-Resolution Imaging with Graphene [PDF]
Biosensors, 2021 Super-resolution optical imaging is a consistent research hotspot for promoting studies in nanotechnology and biotechnology due to its capability of overcoming the diffraction limit, which is an intrinsic obstacle in pursuing higher resolution for conventional microscopy techniques. In the past few decades, a great number of techniques in this research
Xiaoxiao Jiang +6 more
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Guided Cascaded Super-Resolution Network for Face Image
IEEE Access, 2020 The image super-resolution algorithm can overcome the imaging system's hardware limitation and obtain higher resolution and clearer images. Existing super-resolution methods based on convolutional neural networks(CNN) can learn the mapping relationship ...
Lin Cao +4 more
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Deep Neural Network for Image Super Resolution Driven by Prior Denoising
Nantong Daxue xuebao. Ziran kexue ban, 2021 In order to improve image super resolution, a double layer convolution neural network in image denoising is embedded in image restoration tasks. The image super resolution method driven by prior denoising with deep neural network is proposed.
CHENG Fanqiang;ZHU Yonggui;, ZHU Yonggui
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IET Image Processing, 2023 In recent years, terahertz imaging technology has been widely used in security, medicine, and other fields. However, the image resolution is low due to the limits of imaging equipment and diffraction. Traditional super‐resolution methods based on machine
Huanyu Liu, Haipeng Guo, Xiaodong Liu
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A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
Remote Sensing, 2023 High-resolution images have a wide range of applications in image compression, remote sensing, medical imaging, public safety, and other fields. The primary objective of super-resolution reconstruction of images is to reconstruct a given low-resolution ...
Xuan Wang +3 more
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Super-Resolution Imaging [PDF]
, 2019 This chapter examines multiframe image super-resolution in a probabilistic framework. Many multiframe super-resolution algorithms begin by a point estimate of the unknown latent parameters, such as those describing the motion or the blur function. The focus of this chapter is on alternatives to this practice that can yield superior super-resolution ...
Pickup, L +3 more
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