Image Perception 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,
-Anthropocentric (human-centered)Computing,
-Smart Cities/Buildings and Assisted living.
This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations. It covers the following topics in detail:
Human Vision Modeling, Weber ratio, Mach Phenomenon. Mathematical neuron model. HVS has band-pass frequency characteristics, Laplacian-of-Gaussian retina modeling. V1 visual cortex and Gabor functions. Spatial HVS models, Angular Spatial Frequency, Kelly experiments, Saccadic eye motion, HVS Contrast sensitivity. Gestalt theory. Visual illusions.