Noise in digital video can clearly reduce the perceived quality of video sequences captured in low-light conditions. As real camera noise is very different from the usually assumed AWGN, we discuss the characteristics of real camera noise and analyze it in a motion-picture camera workflow. Additionally, we present new results on the visual perception of spatiotemporal noise. The results can be used to optimize denoising methods for real camera noise and high visual quality.

This presentation is part of Minisymposium “MS14 - Denoising in Photography and Video (2 parts)”
organized by: Stacey Levine (Duquesne University) , Marcelo Bertalmío (University Pompeu Fabra) .

Authors:

Tamara Seybold (Technische Universität München)

Keywords:

camera noise, image enhancement, image reconstruction, noise perception, stochastic processes