JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
IMAGE AND VIDEO PROCESSING LAB
M.Tech I Year I Semester (R22)
Course Objectives
Upon completion of the course, the student will be able to:
1. Comprehend the image processing fundamentals and enhancement techniques in spatial and frequency domain.
2. Describe the color image fundamentals, models and various restoration techniques.
3. Design and Analyze the image compression systems.
4. Outline the various image segmentation and morphology operations.
5. Comprehend the basics of video processing and video coding.
Course Outcomes
After completion of this course, students will be able to:
1. Understand theory and models in Image and Video Processing.
2. Explain the need of spatial and frequency domain techniques for image compression.
3. Comprehend different methods, models for video processing and motion estimation.
4. Illustrate quantitative models of image and video segmentation.
5. Apply the process of image enhancement for optimal use of resources. The students will be given 8-10 programming/simulation/projects/assignments based on the syllabus as mentioned below:
List of Experiments:
1. Implement any four Image Enhancement Algorithms
2. Frequency Domain Filtering Algorithms.
3. Image Restoration Algorithms.
4. Color Image Processing Algorithms
5. Image compression techniques
6. Morphological Image Processing Methods
7. Image Segmentation Algorithms
8. Spatial Filtering Algorithms for image enhancement and segmentation