Results 301 to 310 of about 2,969,604 (339)
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Noise removal from color images
Journal of Intelligent & Robotic Systems, 1993The noise effects in color images are studied from the human perception and machine perception point of view. Three justifiable observations are made to illustrate problems related to individual color signal processing. To minimize the noise effects, two solutions are studied: One is a ‘rental scheme’ and the other is a vector signal processing ...
J. Zheng, K. P. Valavanis, J. M. Gauch
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SIAM Journal of Imaging Sciences, 2019
Multiplicative noise removal problems have attracted much attention in recent years. Unlike additive noise removal problems, multiplicative noise destroys almost all information of the original ima...
Wenjuan Yao +4 more
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Multiplicative noise removal problems have attracted much attention in recent years. Unlike additive noise removal problems, multiplicative noise destroys almost all information of the original ima...
Wenjuan Yao +4 more
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Adaptive Hyperspectral Mixed Noise Removal
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018This paper proposes a new denoising method for hyperspectral images (HSIs) corrupted by mixtures (in a statistical sense) of stripe noise, Gaussian noise, and impulsive noise. The proposed method has three distinctive features: 1) it exploits the intrinsic characteristics of HSIs, namely, low-rank and self-similarity; 2) the observation noise is ...
Tai-Xiang Jiang +3 more
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Fourier Spectrum Guidance for Stripe Noise Removal in Thermal Infrared Imagery
IEEE Geoscience and Remote Sensing Letters, 2020Thermal infrared (TIR) imaging has been an indispensable tool in surveillance and remote sensing fields due to the characteristic of this spectrum that enables the sensing system to detect relatively warm targets, especially in low-light conditions ...
Qingjie Zeng +3 more
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AIP Conference Proceedings, 2006
The relative motion of the LISA spacecraft will Doppler shift the laser frequencies by around 15 MHz. These Doppler shifts introduce sensitivity to the phase noise of the measurement’s master clock. Using the most stable clocks available this effect would degrade the LISA sensitivity by more than a factor of 100. This clock noise can be removed in post‐
William Klipstein +4 more
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The relative motion of the LISA spacecraft will Doppler shift the laser frequencies by around 15 MHz. These Doppler shifts introduce sensitivity to the phase noise of the measurement’s master clock. Using the most stable clocks available this effect would degrade the LISA sensitivity by more than a factor of 100. This clock noise can be removed in post‐
William Klipstein +4 more
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Histogram-Based Gaussian Noise Removal
International Journal of Applied Research on Information Technology and Computing, 2014In modern science and technology, as the digital image processing gets more and more importance, the process of image quality enhancement and image restoration becomes a matter of concern for the researchers. In an image, denoising complexity increases from salt and pepper impulse noise to random-valued impulse noise, through to Gaussian noise. As salt
Manohar Koli, S. Balaji
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Edge preserving mixed noise removal
Multimedia Tools and Applications, 2018To faithfully recover the clean images corrupted by additive white Gaussian noise (AWGN) and impulse noise (IN), a novel edge preserving image denoising algorithm is proposed. The low- and high-frequency components of the image are restored separately.
Fenghua Guo, Caiming Zhang
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A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, 2019Mixture noise removal is a fundamental problem in hyperspectral images’ (HSIs) processing that holds significant practical importance for subsequent applications. This problem can be recast as an approximation issue of a low-rank matrix. In this paper, a
Hailiang Ye +4 more
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A noise estimation method for multiplicative noise removal
Computational and Applied MathematicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bao Chen, Yuchao Tang, Xiaohua Ding
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