The simple definition of Image processing is the processing of images using mathematical Operations. This course will explain the concepts of image processing concerning practical applications. The Matlab (/python) code is provided for some topics for better understanding. This course will be more helpful to Graduate students to learn image processing concepts practically. For research community, it will give the newest developments in mathematical concepts in image processing research today. Before going to start to learn the course, one has to understand the differences between the Computer Vision, Computer Graphics and Image processing.
Computer Graphics:
In Computer Graphics, the images are created by the computer using mathematical primitives. Examples for Computer Graphics are Animated Movies.
Image Processing:
In Image Processing, image acquisition is made by Camera Sensors from natural scenes.
Computer Vision (CV):
Computer Vision is the high-level Image Processing. The CV provides decision capability to the machine like human vision. The objective of computer vision is to solve real world problems rather than toy problems.
Topics
- Filters in Image processing
- Understanding Image Gradients
- Understanding Sobel Edge Detection with python code
Exercises
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