Premium
A Stochastic Film Grain Model for Resolution‐Independent Rendering
Author(s) -
Newson A.,
Delon J.,
Galerne B.
Publication year - 2017
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13159
Subject(s) - rendering (computer graphics) , computer science , computer graphics (images) , zoom , computer vision , texture synthesis , amateur , artificial intelligence , algorithm , image texture , image processing , image (mathematics) , optics , physics , lens (geology) , law , political science
The realistic synthesis and rendering of film grain is a crucial goal for many amateur and professional photographers and film‐makers whose artistic works require the authentic feel of analogue photography. The objective of this work is to propose an algorithm that reproduces the visual aspect of film grain texture on any digital image. Previous approaches to this problem either propose unrealistic models or simply blend scanned images of film grain with the digital image, in which case the result is inevitably limited by the quality and resolution of the initial scan. In this work, we introduce a stochastic model to approximate the physical reality of film grain, and propose a resolution‐free rendering algorithm to simulate realistic film grain for any digital input image. By varying the parameters of this model, we can achieve a wide range of grain types. We demonstrate this by comparing our results with film grain examples from dedicated software, and show that our rendering results closely resemble these real film emulsions. In addition to realistic grain rendering, our resolution‐free algorithm allows for any desired zoom factor, even down to the scale of the microscopic grains themselves.