Affine Non-Local Means Image Denoising - 2017 PROJECT TITLE :Affine Non-Local Means Image Denoising - 2017ABSTRACT:This paper presents an extension of the Non-Local Means denoising method, that effectively exploits the affine invariant self-similarities present in the pictures of real scenes. Our technique provides a higher image denoising result by grounding on the fact that in several occasions similar patches exist within the image but have undergone a metamorphosis. The proposal uses an affine invariant patch similarity measure that performs an appropriate patch comparison by automatically and intrinsically adapting the size and shape of the patches. Hence, a lot of similar patches are found and appropriately used. We have a tendency to show that this image denoising methodology achieves top-tier performance in terms of PSNR, outperforming consistently the results of the regular Non-Native Means, and that it provides state-of-the-art qualitative results. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Face detection with a ViolaÌJones based hybrid network - 2017 Automatic Detection of Red Light Running Using Vehicular Cameras - 2017
