2D Digital Filter Design and Implementation 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 2D Digital Filter Design and Implementation that has many applications in digital image filtering, computer vision (template matching) and convolutional neural networks . It covers the following topics in detail: FIR filter design, Direct 2D FIR filter implementation, Digital FIR filter implementation using FFT, Block-based convolution methods, IIR filter design and implementation.