Results 91 to 100 of about 9,957 (160)
A Digital Image Denoising Algorithm Based on Gaussian Filtering and Bilateral Filtering
ITM Web of Conferences, 2018 Bilateral filtering has been applied in the area of digital image processing widely, but in the high gradient region of the image, bilateral filtering may generate staircase effect. Bilateral filtering can be regarded as one particular form of local mode
Piao Weiying, Yuan Yibao, Lin Haijun
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, 2007 To develop and demonstrate accurate indoor pedestrian navigation, we implemented a flexible location framework which is able to use various sensors as positioning sources.
Khider, Mohammed +4 more
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Journal of Physiological InvestigationThe quantitative sudomotor axon reflex test (QSART, Iontophoresis of 10% ACh with 2 mA for 5 min) is widely used in perspiration studies. However, it faces challenges such as suboptimal image quality and misidentification of hidden sweat glands as ...
Seunghyun Lee +17 more
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A New Inverse Halftoning Method Using Reversible Data Hiding for Halftone Images
EURASIP Journal on Advances in Signal Processing, 2010 A new inverse halftoning algorithm based on reversible data hiding techniques for halftone images is proposed in this paper. The proposed scheme has the advantages of two commonly used methods, the lookup table (LUT) and Gaussian filtering methods.
Wu Mei-Yi, Lee Jia-Hong, Wu Hong-Jie
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Nantong Daxue xuebao. Ziran kexue banIn existing blind estimation algorithms for frequency-hopping parameters based on time-frequency ridges,performance degrades significantly when the signal-to-noise ratio(SNR) falls below-5 dB.
WAN Kai; CHANG Cheng; HOU Changbo; WU Xiangyu
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The generalized Hierarchical Gaussian Filter
Hierarchical Bayesian models of perception and learning feature prominently in contemporary cognitive neuroscience where, for example, they inform computational concepts of mental disorders. This includes predictive coding and hierarchical Gaussian filtering (HGF), which differ in the nature of hierarchical representations.
Lilian Aline Weber +5 more
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Square root kalman filter with contaminated observations [PDF]
, 1992 The algorithm of square root Kalman filtering for the case of contaminated observations is described in the paper. This algorithm is suitable for the parallel computer implementation allowing to treat dynamic linear systems with large number of state ...
Rubio, A., Romera, Rosario, Cipra, Tomas
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IMAGE SMOOTHING MENGGUNAKAN MEAN FILTERING, MEDIAN FILTERING, MODUS FILTERING DAN GAUSSIAN FILTERING
, 2015 Softening image (Image smoothing) aims to suppress the interference (noise) in the image. The disorder usually appears as a result of which is not good penerokan (sensor noise, photographic grain noise) or due to transmission line (the delivery of data ...
Yuwono, Bambang
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Comparative Study of Gaussian and Nearest Mean Classifiers for Filtering Spam E-mails
, 2012 The development of data-mining applications such as classification and clustering has shown the need for machine learning algorithms to be applied to large scale data.
Dr. Upasna Attri, Harpreet Kaur
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MSE-optimal measurement dimension reduction in gaussian filtering
, 2020 We present a framework for measurement dimension reduction in Gaussian filtering, defined in terms of a linear operator acting on the measurement vector.
Berntorp, Karl, +3 more
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