Search Results for author:
Found 4 papers, 1 papers with code
Estimation of non-uniform blur using a patch-based regression convolutional neural network (CNN)
The non-uniform blur of atmospheric turbulence can be modeled as a superposition of linear motion blur kernels at a patch level.
Neural-based Compression Scheme for Solar Image Data
In this work, we propose an adversarially trained neural network, equipped with local and non-local attention modules to capture both the local and global structure of the image resulting in a better trade-off in rate-distortion (RD) compared to conventional hand-engineered codecs.
Estimation of motion blur kernel parameters using regression convolutional neural networks
Many deblurring and blur kernel estimation methods use MAP or classification deep learning techniques to sharpen an image and predict the blur kernel.
Solar Active Region Magnetogram Image Dataset for Studies of Space Weather
In this dataset we provide a comprehensive collection of magnetograms (images quantifying the strength of the magnetic field) from the National Aeronautics and Space Administration's (NASA's) Solar Dynamics Observatory (SDO).
