Digital Image and Video Processing

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Course Venue:

GIS Laboratory

CIT Block B
GIS Lab
College of Computing and Information Sciences

   

Course Code: 
CMP 4104
Course Credit Units: 
3
Semester: 
Semester 1
Year of Study: 
Year 4
Undergraduate or Graduate Level: 
Undergraduate Level
Course Discipline: 
Course Description & Objectives: 

This course covers fundamental theories and techniques for efficient representation, processing,  and  communication  of  digital  images  and  video.  It  presents  the  main concepts, results, and techniques that are the foundations of current academic research and industry practice in digital image processing   

Learning Outcomes: 

On completing this course the student should be able to:·        Understand the basic information of Video and images·        Understand the various compression techniques and work with either raw or compressed data·        Understand the frequency components of image and video data·        Implement data compression techniques·        Work with Image or Video File formats·        Perform motion-compensated predictive coding of video using forward, backward, and bidirectional predictive methods.·        Select an appropriate encoding method for each macro block in a video sequence.·           Know basic features of prominent image and video compression standards   

Digital Image and Video Processing
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