superresolution

superresolution

[¦sü·pər‚rez·ə′lü·shən]
(oceanography)
Separation of tides into components of different frequencies, without taking measurements for the full extent of the longest-period component.
References in periodicals archive ?
the university of regensburg (client) is planning to obtain a ready-to-use spectral confocal microscope for histology and quantitative protein colocalization at maximum resolution (120 nm, Confocal superresolution) and highest sensitivity, Including data processing software and all necessary peripheral systems at the faculty of medicine, Institute of human genetics ,
is an R&D and intellectual property licensing company specializing in advanced video superresolution, upscaler, and compression technologies.
Bischof, "Variational depth superresolution using example-based edge representations," in Proc.
Zhou, "Diffusion-Weighted Images Superresolution Using High-Order SVD," Computational and Mathematical Methods in Medicine, vol.
Recently, deep learning-based methods have achieved outstanding performances in many domains [18-21], including image deblurring [22], image denoising [23], superresolution [24], style transfer [25, 26], and inpainting [27].
Because there is no need for any Markov chains or unrolled approximate inference network, GAN has drawn many researchers' attention in the domains of superresolution [13], image-to-image translation [14,15], and image synthesis [16,17], etc.
Manikas, "Superresolution multitarget parameter estimation in MIMO radar," IEEE Transactions on Geoscience and Remote Sensing, vol.
There exist abnormal negative refraction effect [16], inverse Cerenkov radiation, reverse Doppler effect [17], and negative radiation pressure [18] in NIMs because the electromagnetic wave group velocity and phase velocity of these materials are oriented in the opposite direction; based on these principles, optical film contained NIMs has broad application prospects in microwave communication, large capacity storage medium, and superresolution imaging.
The same as the general regularization-based superresolution methods, influence of noise is controlled by regularization terms.
Among all deep learning approaches, CNN is one of the most popular models and has been providing the state-of-the-art performance on segmentation [43,44], human action recognition [45], image superresolution [46], scene labelling [47], and visual tracking [48].
To improve the effect of monitoring images without replacing the original detection equipment, people gradually turn to imageprocessing methods, of which the superresolution reconstruction method is an effective way to improve the quality of images including hyperspectral, visible light, and infrared images.
Sun, "Study of terahertz superresolution imaging scheme with real-time capability based on frequency scanning antenna," IEEE Transactions on Terahertz Science and Technology, Vol.