Computer Vision and Digital Image Processing

The aims of this course are:

• To study the image fundamentals and mathematical transforms necessary for image processing.
• To study the image enhancement techniques.
• To study image restoration procedures.
• To study the image compression procedures.

Upon the successful completion of this course, students should be able to:

• ILO1 : Review the fundamental concepts of a digital image processing system.
• ILO2 : Analyze images in the frequency domain using various transforms.
• ILO3 : Evaluate the techniques for image enhancement and image restoration.
• ILO4 : Interpret image segmentation and representation techniques.
• ILO5 : Categorize various compression techniques.

Textbooks:

1. Digital Image Processing, Rafael C. Gonzalez, Third Edition, Pearson International Edition, ISBN-13: 978-0131687288, ISBN-10: 013168728X
2. Digital Image Processing Using MATLAB, Second Edition, Pearson Prentice Hall by Rafael C.Gonzalez, Richard E. Woods, Steven L. Eddians, ISBN-13: 978-0070702622, ISBN-10: 9780070702622

References:

1. Image Processing for Computer Graphics and Vision, Luiz Velho, Alejandro C. Frery, Jonas Gomes, Silvio Levy, Second Edition.
2. Introduction to Video and Image Processing: Thomas B. Moeslund