A Stochastic Film Grain Model for Resolution‐Independent Rendering

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dc.contributor.author Newson, A. en_US
dc.contributor.author Delon, J. en_US
dc.contributor.author Galerne, B. en_US
dc.contributor.editor Chen, Min and Zhang, Hao (Richard) en_US
dc.date.accessioned 2018-01-10T07:43:28Z
dc.date.available 2018-01-10T07:43:28Z
dc.date.issued 2017
dc.identifier.issn 1467-8659
dc.identifier.uri http://dx.doi.org/10.1111/cgf.13159
dc.identifier.uri https://diglib.eg.org:443/handle/10.1111/cgf13159
dc.description.abstract 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.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. en_US
dc.publisher © 2017 The Eurographics Association and John Wiley & Sons Ltd. en_US
dc.subject film grain
dc.subject texture synthesis
dc.subject computational photography
dc.subject I.3.3 [Computer Graphics]: Picture/Image Generation
dc.title A Stochastic Film Grain Model for Resolution‐Independent Rendering en_US
dc.description.seriesinformation Computer Graphics Forum
dc.description.sectionheaders Articles
dc.description.volume 36
dc.description.number 8
dc.identifier.doi 10.1111/cgf.13159
dc.identifier.pages 684-699


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