📕 Digital Image Processing
Author: Neeraj Anand
Published by: Anand Technical Publishers

For GNDU (Guru Nanak Dev University) M.Sc. Computer Science and M.Sc. IT – 2nd Semester Students

Digital Image Processing book for M.Sc. Computer Science and IT 2rd Semester for GNDU (Guru Nanak Dev University) course written by Neeraj Anand and published by Anand Technical Publishers offers a comprehensive approach to learning network programming concepts and practical skills. Below are the key features of the book:

Key Features Of The Book :

🔹 Strictly Aligned with GNDU Syllabus:

This book is meticulously designed to meet the specific needs of M.Sc. Computer Science and IT 2nd Semester students at GNDU.
It follows the syllabus guidelines issued by GNDU, ensuring students can rely on it as their primary resource without the need for supplementary material.

🔹 Available in Both Ebook and Physical Formats:

The book is accessible in both digital (ebook) and hard copy formats.
This flexibility supports students’ preferences for studying on digital devices or with a physical book in hand.

🔹 Structured, Student-Friendly Content:

Chapters are organized to flow logically, with each topic introduced progressively.
Easy-to-understand language and a step-by-step breakdown of complex concepts make it suitable for both beginners and advanced learners.

🔹 Comprehensive Coverage of Key Topics:

Covers the full scope of Digital Image Processing, including both fundamental theories and practical applications.
Major topics included:
- Image Acquisition and Representation: Basics of capturing, digitizing, and representing images.
- Image Enhancement Techniques: Techniques for enhancing image quality, such as contrast adjustment, filtering, and noise reduction.
- Image Restoration and Compression: Methods for improving and compressing images, beneficial for reducing storage and transmission requirements.
- Color Image Processing: Techniques for handling and manipulating color images, essential for visual quality.
- Morphological Image Processing: Operations for analyzing the structure and form of image objects, useful in pattern recognition and computer vision.
- Segmentation Techniques: Methods for partitioning images into meaningful sections, crucial for object detection and recognition.

🔹 Rich Visuals & Practical Examples:

The book is filled with illustrations, diagrams, and real-world examples to clarify complex ideas.
These visuals help students better understand abstract concepts and enhance retention of key points.

🔹 Emphasis on Practical Applications and Exam Preparation:

Each chapter includes practice problems and exam-style questions directly related to GNDU’s curriculum.
The emphasis on practical applications prepares students for both theoretical exams and lab assignments.

🔹 Quick Reference Tools for Efficient Revision:

Includes summary points, glossaries, and important formulas at the end of each chapter for quick revision.
These tools are particularly helpful during exam time, making the book a reliable resource for focused study sessions.

🔹 Ideal for Building a Strong Foundation in Digital Image Processing:

With its clear explanations and structured approach, this book is an excellent starting point for students aiming to excel in digital image processing.
It not only prepares students for academic exams but also provides a solid grounding for further studies or career paths in computer science and imaging technology.

📚 Whether you are new to digital image processing or looking to strengthen your understanding, this book by Neeraj Anand is a valuable resource crafted specifically for GNDU’s M.Sc. Computer Science and IT students.

FAQs (Frequently Asked Question) : Digital Image Processing by Neeraj Anand
Published by Anand Technical Publishers

1. What is this book about?

This book, authored by Neeraj Anand, focuses on Digital Image Processing, covering all essential concepts as per the M.Sc. Computer Science 2nd Semester syllabus of Guru Nanak Dev University (GNDU). It includes fundamental theories and practical techniques used in the field of digital imaging.

2. Who is the intended audience?

The book is designed specifically for GNDU M.Sc. Computer Science 2nd Semester students. It is suitable for students looking to understand Digital Image Processing comprehensively, as it adheres closely to the GNDU syllabus.

3. Is this book available in both ebook and physical formats?

Yes, the book is available in both ebook and physical book formats, allowing students to choose their preferred method for studying.

4. What topics are covered in the book?

Key topics include:
- Image Acquisition and Representation
- Image Enhancement Techniques
- Image Restoration and Compression
- Color Image Processing
- Morphological Image Processing
- Image Segmentation Techniques
The content is aligned with the GNDU syllabus, covering each required topic in depth.

5. How is the content organized?

The book is structured in a progressive manner, starting with basic concepts and advancing to more complex topics. Each chapter is designed to build on the previous one, ensuring students develop a comprehensive understanding.

6. Does the book include practice questions and examples?

Yes, each chapter includes practice problems, examples, and illustrations. These help reinforce concepts and allow students to test their understanding, which is beneficial for exams and practical assignments.

7. Is this book suitable for self-study?

Absolutely. The book is written in a student-friendly language and includes step-by-step explanations, making it an ideal resource for self-study as well as classroom use.

8. How is this book helpful for GNDU exams?

Since the book is tailored according to GNDU’s 2nd Semester syllabus for M.Sc. Computer Science, students can rely on it as a primary study guide. The focus on syllabus-aligned content, along with exam-style questions and summaries, makes it a valuable tool for exam preparation.

9. Are there any additional resources in the book for quick revision?

Yes, each chapter has summary points, glossaries, and key formulas to facilitate quick revision, which is especially useful during exam time.

10. Where can I purchase this book?

The book is published by Anand Technical Publishers and is available for purchase at academic bookstores or online. For details on ordering the ebook version, students can check the publisher’s website or other major ebook platforms.

11. How does this book help in practical lab assignments?

The book includes practical examples and application-based exercises related to digital image processing, which can be beneficial for performing lab assignments and understanding the practical applications of theoretical concepts.

12. What sets this book apart from other digital image processing books?

The primary advantage of this book is that it is strictly aligned with the GNDU syllabus, making it a highly relevant resource for GNDU students. Additionally, its balanced approach, combining theory with practical examples, makes it both comprehensive and easy to understand.

Note: For students of GNDU’s M.Sc. Computer Science program, this book by Neeraj Anand provides an excellent foundation in digital image processing, designed to meet both academic and practical requirements.