Image sensor noise profiling by voting based curve fitting
Image sensor noise profiling by voting based curve fitting is a scholarly work by Sebastiano Battiato, published in 2014 in ''Proceedings of SPIE''. The main subjects of the publication include active pixel sensor, Gaussian noise, image, estimator, noise, computer science, artificial intelligence, Value noise, noise reduction, image noise, autofocus, Salt and pepper noise, median filter, algorithm, gradient noise, Noise floor, noise measurement, and computer vision. The output quality of an image filter for reducing noise without damaging the underlying signal, strongly depends on the accuracy of the noise model in characterizing the noise introduced by the acquisition device.