Results 231 to 240 of about 50,323 (284)
Enhancing biomedical optical volumetric imaging via self-supervised orthogonal learning. [PDF]
Sci AdvGu Y +10 more
europepmc +1 more source
Attention-Enhanced GAN for Astronomical Image Restoration Under Atmospheric Turbulence and Optical Aberrations. [PDF]
Sensors (Basel)Peng C, Li J, Bao J, Luo L.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
MLMVN in Speckle Noise Filtering
2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 2020In this paper, we use the multilayer neural network with multi-valued neurons (MLMVN) as an intelligent tool for speckle noise filtering. MLMVN is a complex-valued feedforward neural network, which was successfully used for solving various problems including classification, prediction and additive noise filtering.
Igor Aizenberg +2 more
openaire +1 more source
A Speckle Noise Removal Method
Circuits, Systems, and Signal Processing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saadia, Ayesha, Rashdi, Adnan
openaire +1 more source
Time Reversal of Speckle Noise
Physical Review Letters, 2011Focusing a wave in an unknown inhomogeneous medium is an open problem in wave physics. This work presents an iterative method able to focus in pulse-echo mode in an inhomogeneous medium containing a random distribution of scatterers. By performing a coherent summation of the random echoes backscattered from a set of points surrounding the desired focus,
Gabriel, Montaldo +2 more
openaire +2 more sources
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Speckle removal from single-channel and multi-dimensional SAR remains a difficult problem. In this paper, we are investigating the use of a Convolutional Neural Network (CNN), previously applied to the Super-Resolution problem, for speckle removal. Because speckle noise statistics is signal dependent, we are training the neural network on the residual ...
S. Foucher +3 more
openaire +1 more source
Speckle removal from single-channel and multi-dimensional SAR remains a difficult problem. In this paper, we are investigating the use of a Convolutional Neural Network (CNN), previously applied to the Super-Resolution problem, for speckle removal. Because speckle noise statistics is signal dependent, we are training the neural network on the residual ...
S. Foucher +3 more
openaire +1 more source