Course Type: Core
  Batch: 3rd Year CSE, B.Tech and Dual Degree
  Course Credits: 01

Course Objectives

 
• Describe and explain basic principles of digital image processing.
 
• Design and implement algorithms that perform basic image processing (e.g., noise removal and image enhancement).
 
• Design and implement algorithms for advanced image analysis (e.g., image compression, image segmentation).
 
• Assess the performance of image processing algorithms and systems.

Pre-requisites

There are no official pre-requisites for this course.

Venue

Programming Laboratory 4, Department of Computer Science and Engineering

Time Slot

  Wednesday: 09:00 AM - 11:00 AM
  Friday: 01:00 PM - 03:00 PM

List of Experiments

 
1.     Implement the spatial image enhancement functions on a bitmap image – Mirroring (Inversion).  
 
2.     Implement the spatial image enhancement functions on a bitmap image – Rotation (Clockwise).  
 
3.     Implement the spatial image enhancement functions on a bitmap image – Enlargement (Double Size).  
 
4.     Implement a) Low Pass Filter and b) High Pass Filter.  
 
5.     Implement a) Arithmetic Mean Filter and b) Geometric Mean Filter.  
 
6.     Implement Smoothing and Sharpening of an eight-bit color image.  
 
7.     Implement a) Boundary Extraction Algorithm and b) Graham's Scan Algorithm.  
 
8.     Implement a) Edge Detection and b) Line Detection.  
 
9.     Implement Image Segmentation using the Otsu and Thresholding methods.  
 
10.     Implement data compression using the JPEG algorithm.  

Course Outcomes

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

 
• CO1: Analyze general terminology of digital image processing.
 
• CO2: Examine various types of images, intensity transformations, and spatial filtering.
 
• CO3: Develop Fourier transform for image processing in the frequency domain.
 
• CO4: Implement image processing and analysis algorithms.
 
• CO5: Apply image processing algorithms in practical applications.