Results 141 to 150 of about 1,447,541 (185)
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SPIE Proceedings, 2012
We propose in this paper an image noise severity measurement method that correlates well with human's quality perception on the presence of noise in images. In our approach, a 32x32 pixels mask is used to compute the differences between the original and noise-degraded images in terms of the statistical means and outlier values.
Bong, D.B.L, Khoo, B.E
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We propose in this paper an image noise severity measurement method that correlates well with human's quality perception on the presence of noise in images. In our approach, a 32x32 pixels mask is used to compute the differences between the original and noise-degraded images in terms of the statistical means and outlier values.
Bong, D.B.L, Khoo, B.E
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Noise-Resistant Image Retrieval
2014 22nd International Conference on Pattern Recognition, 2014We present a content-based image retrieval method which is particularly designed for noisy images. The images are retrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by novel features which are insensitive to convolution with a Gaussian kernel, i.e.
Cyril Hoschl, Jan Flusser
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Physics Today, 2010
Whether noise is a nuisance or a signal depends on how it’s processed. By cross-correlating noise recorded at two sensors, researchers can retrieve the waves that propagate between them and extract details about the intervening medium.
Roel Snieder, Kees Wapenaar
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Whether noise is a nuisance or a signal depends on how it’s processed. By cross-correlating noise recorded at two sensors, researchers can retrieve the waves that propagate between them and extract details about the intervening medium.
Roel Snieder, Kees Wapenaar
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Retinal images: Noise segmentation
2008 IEEE International Multitopic Conference, 2008In automated diagnosis of diabetic retinopathy, retinal images are used. The retinal images of poor quality need to be enhanced before the extraction of features and abnormalities. Segmentation of retinal images is essential for this purpose. The segmentation is employed to smooth and strengthen images by separating the noisy area from the overall ...
Muhammad Usman Akram +2 more
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The Journal of the Acoustical Society of America, 1996
A passive underwater imaging system has been developed using a volume array of only 6 elements and time average product (TAP) broadband array processing techniques to create images consisting of thousands of pixels. This system was developed to image objects using ambient noise as illumination.
Robert K. Coulson, Stewart A. L. Glegg
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A passive underwater imaging system has been developed using a volume array of only 6 elements and time average product (TAP) broadband array processing techniques to create images consisting of thousands of pixels. This system was developed to image objects using ambient noise as illumination.
Robert K. Coulson, Stewart A. L. Glegg
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Noise-cheating image enhancement*
Journal of the Optical Society of America, 1975A new technique for noise suppression has been designed and tested that allows detection of small and extremely low-contrast images. The procedure entails a double scan. A first scan is made with an aperture that provides about ten quantized levels (±2 sigma apart).
Hans J. Zweig +2 more
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2019
After studying this chapter, you should be able to: Understand the various types of noise that appear in seismic images and volumes. Simulate some commonly used type of noise. Estimate noise parameters.
Abdullatif Al-Shuhail, Saleh Al-Dossary
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After studying this chapter, you should be able to: Understand the various types of noise that appear in seismic images and volumes. Simulate some commonly used type of noise. Estimate noise parameters.
Abdullatif Al-Shuhail, Saleh Al-Dossary
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Imaging and Applied Optics, 2011
The position of sensor elements of an imaging sensor relative to the image is usually not well defined. It has some arbitrary value and changes due to movements of sensor and object. The discrete local sampling usually prevents to exactly hit a sharp maximum in the image and thus will as a rule underestimate data for maximum intensity taken ...
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The position of sensor elements of an imaging sensor relative to the image is usually not well defined. It has some arbitrary value and changes due to movements of sensor and object. The discrete local sampling usually prevents to exactly hit a sharp maximum in the image and thus will as a rule underestimate data for maximum intensity taken ...
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Applied Vision, 1989
Use of the CSF in Image Compression The visual system’s variations in sensitivity to spatial frequencies are critical to any imaging system where the image is to be displayed and viewed by a human observer. These variations are described by the contrast sensitivity function (CSF) which has found wide application in image compression schemes using the ...
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Use of the CSF in Image Compression The visual system’s variations in sensitivity to spatial frequencies are critical to any imaging system where the image is to be displayed and viewed by a human observer. These variations are described by the contrast sensitivity function (CSF) which has found wide application in image compression schemes using the ...
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2003
Noise in an image can be defined as the unwanted part of that image. The noise may be random in some way, as is the pepper-and-salt appearance on a television screen when the station goes off the air, or it may be systematic, as with the ghost seen when an echo of the wanted signal arrives with a time delay after reflection from a hill.
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Noise in an image can be defined as the unwanted part of that image. The noise may be random in some way, as is the pepper-and-salt appearance on a television screen when the station goes off the air, or it may be systematic, as with the ghost seen when an echo of the wanted signal arrives with a time delay after reflection from a hill.
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