Digital Image Processing GNDU M.Sc Computer Science IT 2nd Semester Book

📚 “Digital Image Processing” for M.Sc. Computer Science & IT (GNDU 2nd Semester) by Neeraj Anand

Are you pursuing an M.Sc. in Computer Science or IT from Guru Nanak Dev University (GNDU)? We’ve got the perfect companion for your 2nd-semester coursework! 🎓

📖 Book Title: Digital Image Processing
👨‍🏫 Author: Neeraj Anand
🏢 Publisher: Anand Technical Publishers

This book is strictly according to GNDU’s syllabus, covering all essential concepts of digital image processing with a clear, concise, and practical approach. Here’s what you can expect:

• 🌟 Comprehensive Coverage: All key topics as per GNDU’s curriculum.
• 🔍 Practical Examples: Step-by-step explanations to simplify complex concepts.
• 📊 Applications & Techniques: Explore real-world applications and advanced techniques in image processing.
• 📚 Exam Focused Content: Designed to help students grasp concepts effectively and excel in exams.

📚 Course : MCS-202 (Second Semester) – Image Processing

🕒 Time: 3 Hours
📈 Max Marks: 100

This course is a critical part of the M.Sc. Computer Science & IT program, focusing on the foundations and advanced techniques of digital image processing. Here’s a detailed breakdown of the syllabus and assessment:

Exam Guidelines:

1. Question Paper Structure:
   • The paper setter will prepare eight questions in total.
   • Students must attempt any five questions of their choice.
   • All questions carry equal marks (20 marks each).
2. Permitted Tools:
   • Only Non-programmable and Non-storage type calculators are allowed.

Course Outline

1. Background

• Introduction to Electronic Systems
  • Systems for image transmission and storage
• Computer-Based Image Processing
  • Processing and recognition of pictorial data
• Overview of Applications
  • Real-world usage scenarios of image processing techniques

2. Fundamentals

• Mathematical and Perceptual Preliminaries
  • Basic mathematical concepts and perceptual properties of images
• Human Visual System (HVS) Model
  • Understanding how the human eye perceives images
• Image Signal Representation
  • Digital representation of images and image signals
• Imaging System Specification
  • Parameters and specifications in designing imaging systems
• Building Image Quality
  • Factors that influence and define image quality
• Role of Computers in Image Processing
  • How computers facilitate image acquisition, processing, and analysis
• Image Data Formats
  • Various formats used to store and transmit image data

3. Image Processing Techniques

• Image Enhancement
  • Methods to improve image visual quality (e.g., contrast adjustment, histogram equalization)
• Image Restoration
  • Techniques to recover original image from degraded versions
• Image Data Compression
  • Methods for reducing image file sizes (lossy and lossless)
• Statistical Pattern Recognition
  • Use of statistical methods to recognize patterns in image data

4. Techniques of Colour Image Processing

• Colour Image Signal Representation
  • Representation of colour information in digital images
• Colour System Transformations
  • Conversions between colour models (RGB, HSV, YCbCr, etc.)
• Extension of Processing Techniques to Colour Domain
  • Applying grayscale image processing methods to colour images

5. Applications of Image Processing

• Picture Data Archival
  • Storing and organizing image databases
• Machine Vision
  • Automated image analysis for industrial and robotic systems
• Medical Image Processing
  • Techniques for analyzing medical images (e.g., MRI, CT, X-ray)

This course equips students with the theoretical foundations and hands-on skills needed for advanced research or professional roles in the field of image processing. Dive into the fascinating world of images and their transformative power in modern technology!

Prepare well, and best of luck with your exams!

Whether you’re diving into image transformations, filtering, or segmentation, this book provides the perfect blend of theory and practical knowledge.

Get your copy today and master the art of Digital Image Processing!

Available now at leading bookstores and online. 🛒

For inquiries or bulk orders, contact Anand Technical Publishers.

💬 Have questions before buying?
Contact Anand Classes at 91-9463138669 / WhatsApp 91-9463138669 for personalized support.