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A Speckle Noise Removal Method
Circuits, Systems, and Signal Processing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ayesha Saadia, Adnan Rashdi
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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
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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
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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
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Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography [PDF]
Biomedical Optics Express, 2017 Farzana Zaki, Hao Su, Xin Yuan
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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
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Reduction of speckle noise in multiwavelength contouring
Applied Optics, 2012We report on a method that can be used to improve the result of multiwavelength contouring in the case of objects with rough surface. It is based on the combined evaluation of multiple measurements with varying direction of illumination. While the individual measurements share the same systematics with respect to the shape of the investigated object ...
Claas, Falldorf +3 more
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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
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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
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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
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The Use of ICA in Speckle Noise
2004When a linear mixture of independent sources is contaminated by multiplicative noise, also called speckle noise, the statistic of the outputs of a linear transformation of the noise data is very different from the statistic that appears when the speckle noise is not present.
David Blanco +4 more
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