Vision Beyond Pixels: Foundations of Image Processing and Computer Vision

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Authors

M Akshara Vijayan
Department of Computer Science and Engineering & Researcher in Computer Vision
A Marry Josi Ceciliyah
Department of Computer Science and Engineering & Researcher in Computer Vision & Medical Imaging

Keywords:

Image processing , Computer vision, Machine learning, Object detection, Image classification, Segmentation, Pattern recognition

Synopsis

The book is structured into five broad chapters, each carefully designed to progressively build knowledge:

Chapter 1 Introduces the fundamentals and mathematical foundations.

Chapter 2 Focuses on feature extraction and segmentation.

Chapter 3 Explores traditional machine learning and deep learning for vision tasks.

Chapter 4 Dives into object detection, recognition, and 3D vision.

Chapter 5 Wraps up with real-world applications, tools, research trends, and future directions.

To support diverse learning styles, the book blends explanatory content with visual illustrations, Python code snippets (especially using OpenCV and PyTorch), and real-world case studies. Whether you're a student seeking to understand the basics, an engineer developing vision-based applications, or a researcher exploring new frontiers, this book aims to serve as a practical companion on your journey.

I am deeply grateful to my grandmother, Husband, Friends, Colleagues, and Family for their continuous support and encouragement. I hope this book not only enhances your technical skillset but also ignites your imagination to see “beyond pixels” — where images become insights, and vision becomes intelligence. Let us begin this visual journey.

References

R. Gonzalez and R. Woods, Digital Image Processing, 4th ed., Pearson Education, 2017.

D. Forsyth and J. Ponce, Computer Vision: A Modern Approach, 2nd ed., Pearson, 2011.

I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, MIT Press, 2016.

S. Szeliski, Computer Vision: Algorithms and Applications, Springer, 2011.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” in NIPS, 2012.

K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” in Proc. CVPR, 2016.

M. Abadi et al., “TensorFlow: Large-scale machine learning on heterogeneous systems,” 2015. [Online]. Available: https://www.tensorflow.org

J. Redmon et al., “You Only Look Once: Unified, Real-Time Object Detection,” in Proc. CVPR, 2016.

Downloads

Published

7 August 2025

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-7185-395-8

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-636-2

How to Cite

Vijayan, M. A. ., & Ceciliyah, A. M. J. . (2025). Vision Beyond Pixels: Foundations of Image Processing and Computer Vision. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-395-8