PatchNR: learning from very few images by patch normalizing flow regularization
Learning neural networks using only few available information is an important ongoing
research topic with tremendous potential for applications. In this paper, we introduce a …
research topic with tremendous potential for applications. In this paper, we introduce a …
Vector casting for noise reduction
MT Gebrekidan, C Knipfer… - Journal of Raman …, 2020 - Wiley Online Library
We report a new method for the reduction of noise from spectra. This method is based on
casting vectors from one data point to the following data points of the noisy spectrum. The …
casting vectors from one data point to the following data points of the noisy spectrum. The …
Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina
Investigation of nuclear lamina architecture relies on superresolved microscopy. However,
epitope accessibility, labeling density, and detection precision of individual molecules pose …
epitope accessibility, labeling density, and detection precision of individual molecules pose …
A multi-level method noise based image denoising using convolution neural network
Gaussian noise has been the bane of any and every denoising process under the sun.
Being a very corrosive noise with huge disruptive potential, this has received much attention …
Being a very corrosive noise with huge disruptive potential, this has received much attention …
Ship Detection from Despeckled Satellite Images using Deep Learning
S Joshi, V Mittal, N Rawat… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Synthetic Aperture Radar is a technique of forming fine resolution images from resolution
restricted radar systems. SAR images are captured by a moving system such as an airplane …
restricted radar systems. SAR images are captured by a moving system such as an airplane …