We propose a general methodology (PURE-LET) to design and optimize a wide class of
transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson …

We present a fast algorithm for image restoration in the presence of Poisson noise. Our
approach is based on (1) the minimization of an unbiased estimate of the MSE for Poisson …

We present an improved statistical model for analyzing Poisson processes, with applications
to photon-limited imaging. We build on previous work, adopting a multiscale representation …

In certain image acquisitions processes, like in fluorescence microscopy or astronomy, only
a limited number of photons can be collected due to various physical constraints. The …

In low-light conditions, it is known that Poisson noise and quantization noise become
dominant sources of noise. While intensity difference is usually measured by Euclidean …

In this paper, we present a noise parameter estimation method using a simplified signal-
dependent noise model. The generic Poisson–Gaussian noise model is simplified to a …

Generally Gaussian noise model is used in image processing applications due to its
presence in electronic circuitry used in image acquisition devices like Charge Coupled …

Photon accumulation on a fixed surface is the essence of photography. In the times of
chemical photography this accumulation required the camera to move as little as possible …

Denoising is an essential step prior to any higher-level image-processing tasks such as
segmentation or object tracking, because the undesirable corruption by noise is inherent to …

The minimum-variance filter and smoother are generalized to include Poisson-distributed
measurement noise components. It is shown that the resulting filtered and smoothed …