Results 231 to 240 of about 1,068,113 (278)
Impact of Simulated Artifacts on the Classification Performance of Apical Views in Transthoracic Echocardiography Using Convolutional Neural Networks. [PDF]
Bioengineering (Basel)Orzeł-Łomozik GB +9 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Journal of the Optical Society of America, 1976
A theory is presented which relates the minimum detectable contrast level for an object in the presence of noise to the statistics of the speckle. Consideration is given to smoothing of the noise by multiple looks and by area. Measurements of the minimum detectable contrast are made for two types of speckle noise. First, a coherent, plane wave is added
B D Guenther
exaly +2 more sources
A theory is presented which relates the minimum detectable contrast level for an object in the presence of noise to the statistics of the speckle. Consideration is given to smoothing of the noise by multiple looks and by area. Measurements of the minimum detectable contrast are made for two types of speckle noise. First, a coherent, plane wave is added
B D Guenther
exaly +2 more sources
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 N. Aizenberg +2 more
openaire +2 more sources
A Speckle Noise Removal Method
Circuits, Systems, and Signal Processing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ayesha Saadia, Adnan Rashdi
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 ...
Samuel Foucher +3 more
openaire +2 more sources
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 ...
Samuel Foucher +3 more
openaire +2 more sources
Elimination of Speckle Noise in Holograms with Redundancy
Applied Optics, 1968Holograms made of diffusely reflecting or diffusely illuminated objects can be scratched, spotted with dirt, and even broken into pieces without serious loss of information. This remarkable property is due to the redundancy introduced by diffuse illumination which, in effect, spreads information all over the hologram.
H J, Gerritsen +2 more
openaire +2 more sources
Speckle noise reduction for ultrasonic images
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004This paper presents a method to enhance ultrasonic images that are commonly plagued with a special type of acoustic noise called speckles. To reduce the noise effect, filters such as the weighted median filter, adaptive trimmed mean filter, two dimensional weighted Savitzky-Golay filter (2D-WSGF) have been studied.
Chung-Chang Wu +2 more
openaire +2 more sources
Edge detection in ultrasound speckle noise
Proceedings of 1st International Conference on Image Processing, 2002Presents a statistical approach to edge detection in ultrasound speckle, and uses actual noise statistics to derive an expression for an optimal detection rule. The authors compute the optimal detector for the special case of uncorrelated speckle, and an approximation to the optimal detector for the case when signal-to-noise ratio (SNR) is high.
Richard N. Czerwinski +2 more
openaire +1 more source
Speckle noise reduction in SAS imagery
Signal Processing, 2007Synthetic aperture sonar (SAS) is actively used in sea bed imagery. Indeed high resolution images provided by SAS are of great interest, especially for the detection, localization and eventually classification of objects lying on sea bed. SAS images are highly corrupted by a granular multiplicative noise, called speckle noise which reduces spatial and ...
Fabien Chaillan +2 more
openaire +2 more sources