Advanced Image Filtering Techniques in Mathematical Imaging
Explore examples of high-pass filtering in mathematical imaging, featuring spatial representations and comparisons of ideal and Butterworth filters. Understand the concepts behind high-pass filtering and its applications in image processing.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
MMAT 5390: Mathematical Imaging Lecture 8: Examples of High Pass Filtering Prof. Ronald Lok Ming Lui Department of Mathematics, The Chinese University of Hong Kong
Spatial representation of High Pass Filter Butterworth Gaussian Ideal (Ringing effect is expected)
Ideal High Pass Filter Butterworh D0 = 15 D0 = 30 (Ringing effect is observed)
Butterworth High Pass Filter D0 = 15 D0 = 30
Comparison: High Pass Filter High-pass filtering Low-pass filtering
