Andere Kunden interessierten sich auch für
![Modified Double Bilateral Filter for Sharpness Enhancement and Noise]( "Modified Double Bilateral Filter for Sharpness Enhancement and Noise")
Modified Double Bilateral Filter for Sharpness Enhancement and Noise26,99 €![Modified Laplacian Filter and Edge Detection]( "Modified Laplacian Filter and Edge Detection")
Modified Laplacian Filter and Edge Detection26,99 €![Electronic Mail Spam Filtering]( "Electronic Mail Spam Filtering")
Electronic Mail Spam Filtering36,99 €![Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning]( "Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning")
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning41,99 €![Mathematical Morphology and Its Applications to Image and Signal Processing]( "Mathematical Morphology and Its Applications to Image and Signal Processing")
Mathematical Morphology and Its Applications to Image and Signal Processing249,99 €![Template Matching]( "Template Matching")
Template Matching19,99 €![Image Super-Resolution: A Complete Guide]( "Image Super-Resolution: A Complete Guide")
Image Super-Resolution: A Complete Guide44,99 €
Edge-Preserving Smoothing is a very important operator in the image processing and computer vision domain. It suppresses the random noise while keeping the edges in the image intact. Bilateral filtering is a tool which smooths images while preserving edges, by means of a nonlinear combination of image values. It replaces the intensity of each pixel with a weighted average of intensity values from nearby pixels. Bilateral filter parameters are the range parameter increases i.e. SSIM, PSNR, NIQE, the bilateral filter gradually approaches Gaussian convolution more closely because the range Gaussian widens and flattens, which means that it becomes nearly constant over the intensity interval of the image.As the spatial parameter increases, the larger features get smoothened.The main objective of this experimentation is to observe the operation of the bilateral image filter as an edge-preserving smoothening filter. In this paper, we will evaluate the bilateral filter operation on the processed image due to the simultaneous change of the parameters.