Restricted Access.At low light levels the photonic nature of light introduces dominant bias terms into the intensity correlations that need compensation. We present an unbiased estimator, and the noise on it, for a general Nth-order correlation of an arbitrary (although time-independent) image intensity distribution. The diagrammatic rules presented here for various noise terms serve as a useful bookkeeping device
The evaluation of image processing algorithms generally assumes images that are degraded by known st...
Photonic signals are broadly exploited in communication and sensing and they typically exhibit Poiss...
We present an improved statistical model of Poisson processes, with applications to photon-limited i...
Abstract. In low-light conditions, it is known that Poisson noise and quantization noise become domi...
Noise is present in all images captured by image sensors. Due to photon emission and photoelectric e...
Digital images in general, and radiographies in particular, are mainly affected by photon counting n...
Imaging technologies working at very low light levels acquire data by counting the number of photons...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
Raw data from a digital imaging sensor are impaired by a heteroscedastic noise, the variance of pixe...
The additive white Gaussian noise (AWGN) model is ubiquitous in signal processing. This model is oft...
Noise is present in all image sensor data. Poisson distribution is said to model the stochastic natu...
We study the noise of the intensity variance and of the intensity correlation and structure function...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
submitted 14 May 2010International audienceWe study the noise of the intensity variance and of the i...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
The evaluation of image processing algorithms generally assumes images that are degraded by known st...
Photonic signals are broadly exploited in communication and sensing and they typically exhibit Poiss...
We present an improved statistical model of Poisson processes, with applications to photon-limited i...
Abstract. In low-light conditions, it is known that Poisson noise and quantization noise become domi...
Noise is present in all images captured by image sensors. Due to photon emission and photoelectric e...
Digital images in general, and radiographies in particular, are mainly affected by photon counting n...
Imaging technologies working at very low light levels acquire data by counting the number of photons...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
Raw data from a digital imaging sensor are impaired by a heteroscedastic noise, the variance of pixe...
The additive white Gaussian noise (AWGN) model is ubiquitous in signal processing. This model is oft...
Noise is present in all image sensor data. Poisson distribution is said to model the stochastic natu...
We study the noise of the intensity variance and of the intensity correlation and structure function...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
submitted 14 May 2010International audienceWe study the noise of the intensity variance and of the i...
Imaging technologies working at very low light levels acquire data by attempting to count the number...
The evaluation of image processing algorithms generally assumes images that are degraded by known st...
Photonic signals are broadly exploited in communication and sensing and they typically exhibit Poiss...
We present an improved statistical model of Poisson processes, with applications to photon-limited i...