Advertisement
Published in:
2011 | OriginalPaper | Chapter
Kaiser Window Function Non-Local Means for Image Denoising
Authors : Hongwei Li, Pu Zhang, Yuan Huang
Published in: Informatics in Control, Automation and Robotics
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Kernel function has a great influence on the results denoised by Non-Local Means (NLM), the original NLM method uses the gaussian kernel function to product the patch pixels, and the central pixel’s 4-neighborhood and its 8-neighborhood are given the same kernel value. While in the fact that different neighborhood should be given different kernel values, and in this case, we proposed an improved NLM algorithm based on Kaiser Window function, in which the central pixel’s different scale neighborhood has been assigned different values from the Kaiser Window function. Through a myriad of experiments, both visual quality and PSNR proved that our method is better than the original algorithm.