Description
📚 New Release: “Digital Image Processing” for M.Sc. Computer Science & IT (GNDU 2nd Semester)
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 tailor-made for 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 – 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:
- 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).
- Permitted Tools:
- Only Non-programmable and Non-storage type calculators are allowed.
Course Outline
1. Background
- Introduction to:
- Electronic systems for image transmission and storage.
- Computer processing and recognition of pictorial data.
- Overview of practical applications.
2. Fundamentals
- Key Topics:
- Mathematical and perceptual preliminaries.
- Human visual system model.
- Image signal representation.
- Imaging system specifications and building image quality.
- Role of computers in image processing.
- Image data formats.
3. Image Processing Techniques
- Core Techniques:
- Image enhancement.
- Image restoration.
- Image data compression.
- Statistical pattern recognition.
4. Techniques of Colour Image Processing
- Exploration of:
- Colour image signal representation.
- Colour system transformations.
- Extension of image processing techniques to the colour domain.
5. Applications of Image Processing
- Practical Applications:
- Picture data archival.
- Machine vision.
- Medical image processing.
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.
