Region characteristics-based fusion of spatial and transform domain image denoising methods
Region characteristics-based fusion of spatial and transform domain image denoising methods is a scholarly work, published in 2018 in ''Turkish Journal of Electrical Engineering and Computer Sciences''. The main subjects of the publication include image, Contourlet, performance indicator, noise reduction, non-local means, pixel, artificial intelligence, image segmentation, thresholding, pattern recognition, wavelet, image fusion, computer science, redundancy, digital image processing, computer vision, image quality, wavelet transform, and mathematics. The paper presents a simple novel approach that estimates an original image by simply taking the weighted average of the denoised images pixel values obtained by NLM and wavelet thresholding schemes based on natural characteristics of regions in an image.