Digital images in general, and radiographies in particular, are mainly affected by photon counting noise. In this paper, we provide a method to estimate the gain of the imaging sensor and the variance of the photon counting noise associated to each image grey level. This is useful to multiple scopes, like reverse engineering and denoising
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
Noise is present in all images captured by image sensors. Due to photon emission and photoelectric e...
Noise is present in all image sensor data. Poisson distribution is said to model the stochastic natu...
Since the digital X-Ray images are the results of a measurement process, they are affected by noise....
Noise is present in all images captured by real-world image sensors. The distribution of real camera...
Raw data from a digital imaging sensor are impaired by a heteroscedastic noise, the variance of pixe...
Restricted Access.At low light levels the photonic nature of light introduces dominant bias terms in...
Most conventional imaging modalities detect light indirectly by observing high energy photons. The r...
Digital image acquisition is an intricate process, which is subject to various errors. Some of these...
This paper describes a study aimed at comparing the real image sensor noise distribution to the mode...
Imaging technologies working at very low light levels acquire data by counting the number of photons...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
Noise is present in all images captured by image sensors. Due to photon emission and photoelectric e...
Noise is present in all image sensor data. Poisson distribution is said to model the stochastic natu...
Since the digital X-Ray images are the results of a measurement process, they are affected by noise....
Noise is present in all images captured by real-world image sensors. The distribution of real camera...
Raw data from a digital imaging sensor are impaired by a heteroscedastic noise, the variance of pixe...
Restricted Access.At low light levels the photonic nature of light introduces dominant bias terms in...
Most conventional imaging modalities detect light indirectly by observing high energy photons. The r...
Digital image acquisition is an intricate process, which is subject to various errors. Some of these...
This paper describes a study aimed at comparing the real image sensor noise distribution to the mode...
Imaging technologies working at very low light levels acquire data by counting the number of photons...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
In fluoroscopy quantum noise is dominant with respect to other common noise sources, whose effects c...
Imaging technologies working at very low light levels acquire data by attempting to count the number...