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Synthesising and reducing film grain

Record type: Article

This paper describes some tools for adding and removing film grain. The film grain is represented using an additive signal-dependent model. The approach adopted for artificial grain synthesis avoids subjectivity and an assumption of Gaussianity. The grain within a user-defined plain area is analysed and the synthesis routine generates grain with matching spatial structure having the same probability distribution function as the original. The grain reduction method is based on manipulation of the coefficients achieved using a bi-orthogonal undecimated wavelet decomposition and is extremely advantageous for real-time implementation. The scheme for modifying the coefficient is derived from Bayesian estimation and approximates a range of optimal non-linear functions. Training to deduce parameter values is conducted by contaminating several nominally noise-free images with various realisations of grain noise. Using real and synthetically generated grain noise demonstrated an improvement of objective and visual qualities of the image. The ability of the technique to adapt with respect to image and noise characteristics is also clear.

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Citation

DeStefano, A., Collis, W. and White, P.R. (2006) Synthesising and reducing film grain Journal of Visual Communication and Image Representation, 17, (1), pp. 163-182. (doi:10.1016/j.jvcir.2005.06.002).

More information

Published date: 2006
Keywords: film grain, synthesis, reduction, wavelet transform, non-linear filtering

Identifiers

Local EPrints ID: 28362
URI: http://eprints.soton.ac.uk/id/eprint/28362
ISSN: 1047-3203
PURE UUID: 24664889-a70f-47d8-a2fe-f301f0b08370
ORCID for P.R. White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 28 Apr 2006
Last modified: 17 Jul 2017 16:01

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