Results 201 to 210 of about 1,026,980 (246)
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Physica, 1969
Abstract The noise generated in an optical mixer operating at 6328 A has been calculated and measured. It is found that the amplified noise of the incoming radiation gives a significant contribution to the output noise of the mixer, and that this contribution is independent of the intensity of the incoming optical signal.
S.J. Lee, A. Van der Ziel
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Abstract The noise generated in an optical mixer operating at 6328 A has been calculated and measured. It is found that the amplified noise of the incoming radiation gives a significant contribution to the output noise of the mixer, and that this contribution is independent of the intensity of the incoming optical signal.
S.J. Lee, A. Van der Ziel
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Image Restoration with Mixed or Unknown Noises
Multiscale Modeling & Simulation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gong, Zheng +2 more
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Noise Reduction by Filter Improvement in Mixed Noise Image
Journal of the Institute of Electronics Engineers of Korea, 2013In this paper, we propose an average approximation filter which can effectively remove the noises of the images. The noises include impulse noises, gaussian noises and mixed noises. The algorithm is as follows. First, as a step of noise detection, we find whether the difference between the pixel value and the average value is greater than the threshold
Jae-Won Lim, Eung-Kyeu Kim
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Mixed Noise Image De-Noising Based on EM Algorithm
Applied Mechanics and Materials, 2014Obtaining high quality images is very important in many areas of applied sciences, but images are usually polluted by noise in the process of generation, transmission and acquisition. In recent years, wavelet analysis achieves significant results in the field of image de-noising.
Gui Cun Shi, Fei Xing Wang
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Image De-Noising in Mixed Noises Based on Wavelet Transform
Advanced Materials Research, 2012A method of image de-noising in mixed noises based on wavelet transform is presented. Firstly, 2D multi-scale wavelets transforming the images to get the low-frequency sub-band images and the high-frequency sub-band images. Secondly, de-noising both the low-frequency sub-band images with the improved neighborhood average filters and the high-frequency ...
Bin Chen, Quan Qin, Xu Gan Zhang
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The substrate noise detector for noise tolerant mixed-signal IC
IEEE International [Systems-on-Chip] SOC Conference, 2003. Proceedings., 2004A new type of substrate noise detector is proposed. It is embedded in a mixed-signal IC and monitors the level of substrate noise. Voltage comparators are used to detect errors and a counter tracks the number of errors periodically. From the number of errors, the level of substrate noise is estimated using the probabilistic approach.
null Byung-tae Kang +3 more
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Discrete-time detection inepsilon-mixing noise
IEEE Transactions on Information Theory, 1980The design of detectors for known signals in non-Gaussian \phi -mixing noise is considered. The class of \phi -mixing processes considered is seen to be quite general and allows flexible modeling of a variety of dependent noises. Applying the criterion of asymptotic relative efficiency, the design of the optimal memoryless detector is specified and is ...
D. Halverson, G. Wise
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Mixed Noise Reduction in Hyperspectral Imagery
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2019In this paper, a hyperspectral mixed noise reduction technique is proposed called HyMiR. We assume that hyperspectral images include Gaussian and sparse noise types. First, the Gaussian noise is removed using a recently-developed method called hyperspectral restoration (HyRes).
Behnood Rasti +2 more
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Remote Sensing Image Mixed Noise Denoising with Noise Parameter Estimation
2020Images acquired by optical remote sensing often suffer from noise, due to low-light conditions and long distances from the object. Noise introduces undesirable effects such as artifacts, unrealistic edges, unseen lines and corners, blurred objects and disturbed background scenes, and decreasing the performance of visual and computational analysis.
Mutian Wang +4 more
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Role of Anisotropy in Turbulent Mixing Noise
AIAA Journal, 1999The objective is to explore the role of anisotropy on aerodynamic mixing noise because of fine-scale turbulence. The usual assumption of isotropic turbulence is replaced with that of axisymmetric turbulence. The analysis is based on source terms of Lilley's equation.
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