title: Impact of measurement precision and noise on superresolution image reconstruction.
abstract: The performance of uniform and nonuniform detector arrays for application to the PANOPTES (processing arrays of Nyquist-limited observations to produce a thin electro-optic sensor) flat camera design is analyzed for measurement noise environments including quantization noise and Gaussian and Poisson processes. Image data acquired from a commercial camera with 8 bit and 14 bit output options are analyzed, and estimated noise levels are computed. Noise variances estimated from the measurement values are used in the optimal linear estimators for superresolution image reconstruction.
authors.affiliation: Department of Electrical Engineering, Santa Clara University, Santa Clara, California 95053, USA. swood@scu.edu
authors.forename: Sally L
authors.initials: SL
authors.lastname: Wood
authors.forename: Shu-Ting
authors.initials: ST
authors.lastname: Lee
authors.forename: Gao
authors.initials: G
authors.lastname: Yang
authors.forename: Marc P
authors.initials: MP
authors.lastname: Christensen
authors.forename: Dinesh
authors.initials: D
authors.lastname: Rajan