A Method for Predicting Denoising Efficiency for Color Images

Oleksii S. Rubel (1) , Ruslan O. Kozhemiakin (1) , Sergey S. Krivenko (1) , Vladimir V. Lukin (1) , Benoit Vozel (2) , Kacem Chehdi (2)

1 Kharkov National University
2 IETR - Institut d'Électronique et des Technologies du numéRique

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.

Domaines: Réseaux et télécommunications [cs.NI]; Electronique

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⟩