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A Method for Predicting Denoising Efficiency for Color Images

Abstract : A method to predict denoising efficiency of filters based on discrete cosine transform (DCT) for multichannel images is proposed. Multichannel (3D) standard DCT-based filter and C-BM3D are considered with application to suppression of additive white Gaussian Noise (AWGN) in RGBcolor images. PSNR and PSNR-HMA metrics are exploited to assess quality of images before and after filtering. The proposed method uses image statistics in DCT domain and fitting simple monotonic functions into scatter-plots for prediction of filtering efficiency. It is shown that the prediction method has high performance and requires computational burden much lower than DCT-based filtering itself.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01380049
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, October 12, 2016 - 2:08:53 PM
Last modification on : Monday, October 5, 2020 - 9:50:24 AM

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  • HAL Id : hal-01380049, version 1

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Oleksii S. Rubel, Ruslan O. Kozhemiakin, Sergey S. Krivenko, Vladimir V. Lukin, Benoit Vozel, et al.. A Method for Predicting Denoising Efficiency for Color Images. 2015 Ieee 35th International Conference On Electronics and Nanotechnology (elnano), 2015, pp.304--309. ⟨hal-01380049⟩

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