A Stochastic Film Grain Model for Resolution‐Independent Rendering. (5th July 2017)

• Record Type: Journal Article
• Authors: Newson, A.; Delon, J.; Galerne, B.
• Is Part Of: Computer graphics forum. Volume 36:Number 8(2017)
• Page Start: 684
• Page End: 699
• Publication Date: 2017-07-05
• Subjects: film grain -- texture synthesis -- computational photography -- I.3.3 [Computer Graphics]: Picture/Image Generation; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.13159
• Languages: English
• ISSNs: 0167-7055

Abstract

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. 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.