6 citations · 17 across the 5 of their papers we have counts for
5 papers
PCH-EM: A solution to information loss in the photon transfer method
Aaron J. Hendrickson, David P. Haefner, Stanley H. Chan +2
Working from a Poisson-Gaussian noise model, a multi-sample extension of the Photon Counting Histogram Expectation Maximization (PCH-EM) algorithm is derived as a general-purpose a…
A comparative study of methods to estimate conversion gain in sub-electron and multi-electron read noise regimes
Aaron Hendrickson, David P. Haefner
Of all sensor performance parameters, the conversion gain is arguably the most fundamental as it describes the conversion of photoelectrons at the sensor input into digital numbers…
Experimental Verification of PCH-EM Algorithm for Characterizing DSERN Image Sensors
Aaron Hendrickson, David P. Haefner, Nicholas R. Shade +1
The Photon Counting Histogram Expectation Maximization (PCH-EM) algorithm has recently been reported as a candidate method for the characterization of Deep Sub-Electron Read Noise…
Photon Counting Histogram Expectation Maximization Algorithm for Characterization of Deep Sub-Electron Read Noise Sensors
Aaron Hendrickson, David P. Haefner
We develop a novel algorithm for characterizing Deep Sub-Electron Read Noise (DSERN) image sensors. This algorithm is able to simultaneously compute maximum likelihood estimates of…
On the optimal measurement of conversion gain in the presence of dark noise
Aaron Hendrickson, David P. Haefner, Bradley L. Preece
Working from a model of Gaussian pixel noise, we present and unify over twenty-five years of developments in the statistical analysis of the photon transfer conversion gain measure…