Analysis of a Physically Realistic Film Grain Model, and a Gaussian Film Grain Synthesis Algorithm

Abstract : Film grain is a highly valued characteristic of analog images, thus realistic digital film grain synthesis is an important objective for many modern photographers and film-makers. We carry out a theoretical analysis of a physically realistic film grain model, based on a Boolean model, and derive expressions for the expected value and covariance of the film grain texture. We approximate these quantities using a Monte Carlo simulation, and use them to propose a film grain synthesis algorithm based on Gaussian textures. With numerical and visual experiments, we demonstrate the correctness and subjective qualities of the proposed algorithm
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Communication dans un congrès
6th Conference on Scale Space and Variational Methods in Computer Vision SSVM 2017, Jun 2017, Kolding, Denmark. ssvm. 〈http://ssvm2017.compute.dtu.dk/index.html〉
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Alasdair Newson, Noura Faraj, Julie Delon, Bruno Galerne. Analysis of a Physically Realistic Film Grain Model, and a Gaussian Film Grain Synthesis Algorithm. 6th Conference on Scale Space and Variational Methods in Computer Vision SSVM 2017, Jun 2017, Kolding, Denmark. ssvm. 〈http://ssvm2017.compute.dtu.dk/index.html〉. 〈hal-01494123v2〉

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