17 February 2012 Automatic parameter prediction for image denoising algorithms using perceptual quality features
Author Affiliations +
Abstract
A natural scene statistics (NSS) based blind image denoising approach is proposed, where denoising is performed without knowledge of the noise variance present in the image. We show how such a parameter estimation can be used to perform blind denoising by combining blind parameter estimation with a state-of-the-art denoising algorithm.1 Our experiments show that for all noise variances simulated on a varied image content, our approach is almost always statistically superior to the reference BM3D implementation in terms of perceived visual quality at the 95% confidence level.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anish Mittal, Anish Mittal, Anush K. Moorthy, Anush K. Moorthy, Alan C. Bovik, Alan C. Bovik, } "Automatic parameter prediction for image denoising algorithms using perceptual quality features", Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82910G (17 February 2012); doi: 10.1117/12.912243; https://doi.org/10.1117/12.912243
PROCEEDINGS
7 PAGES


SHARE
Back to Top