This course aims to provide an overview of fundamental theories, concepts, methods, and digital image processing techniques. It helps students build their image processing toolbox with some essential methods such as vector quantization, histogram equalization, different image transforms, noise reduction, edge detection, morphological operations. It also helps students develop the ability to solve real-life problems.
The course instructors are a team of experts with decades of experience in the field of image processing.
By the end of this course, students will be able to describe how visual information is processed before and after it reaches the end-user, and evaluate and apply “classical” image processing techniques for image enhancing, restoration, segmentation or compression in both spatial and transform domains.
