Image Quality 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 Quality that has many applications in image filtering, processing, transmission, streaming and TV. It covers the following topics in detail: Image Quality Assessment Methods, Subjective Quality Assessment Methods, Objective Quality Assessment, Image Quality Metrics, Full reference Quality Assessment-Metrics, Experimental Results, Reduced reference Quality Assessment, No reference Quality Assessment-Metrics, Error Sensitivity, Factors of image quality in cameras.