Digital Image Restoration Lecture
Nowadays, digital images and video are everywhere. Image Processing revolutionizes very many domains, notably:
-Digital Media (video/image/movie) Content Production and Broadcasting, Social Media Analytics,
-Medical/Biological/Dental Imaging and Diagnosis,
-Big Visual Data Analytics,
-Internet and Communications (media broadcasting, streaming).
-Scientific Imaging of any sort, e.g., Remote Sensing, Environment Sensing.
Photoshop and many other image processing tools are ubiquitous.
Furthermore, Image Processing is typically the first step that enables diverse applications, in unison with Computer Vision and Machine Learning:
-Autonomous Systems (cars, drones, vessels) Perception,
-Robotics Perception and Control,
-Intelligent Human-Machine Interaction,
-Smart Cities/Buildings and Assisted living.
This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography. It covers the following topics in detail: Inverse Filters, Wiener Filters, Wavelet Restoration, Blind Deconvolution, Color Image Restoration, Neural Image Restoration, De-Fogging and De-Raining.