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+# Image Processing Tutorials
+
+Welcome to the Image Processing section of our Computer Science tutorials. This repository is designed to provide a comprehensive guide to the fundamentals and advanced techniques of image processing. Whether you are a student, a hobbyist, or a professional looking to enhance your skills, these tutorials will offer valuable insights and practical examples to help you understand and apply image processing concepts.
+
+## What You Will Learn
+
+- **Basics of Image Processing**: Understand the fundamental concepts such as pixels, image formats, and color models.
+- **Image Manipulation**: Learn how to perform operations like resizing, cropping, and rotating images.
+- **Image Filters**: Explore how to apply various filters to enhance or modify images.
+- **Feature Detection**: Dive into more advanced topics like edge detection, corner detection, and feature matching.
+- **Machine Learning in Image Processing**: Discover how machine learning techniques are applied in image processing for tasks like image classification and object recognition.
+
+## Prerequisites
+
+Before you start, you should have a basic understanding of:
+
+- Programming in Python (or any other preferred language that supports image processing libraries)
+- Basic mathematical concepts
+
+## Tools and Libraries
+
+We will primarily use Python with libraries such as PIL/Pillow, numpy and scipy. Installation guides for these libraries will be provided in the respective tutorials.
+
+## Tutorials Index
+
+1. Introduction to Image Processing
+2. Non-Adaptive Image Scaling
+3. Adaptive Image Scaling
+4. Applying Filters and Effects
+5. Advanced Image Processing Techniques
+6. Integrating Machine Learning with Image Processing
+
+## Contributing
+
+We encourage contributions from the community! If you would like to add a tutorial, improve an existing one, or report issues, please feel free to fork the repository and submit a pull request.
+
+## License
+
+All tutorials are released under the MIT License. See the LICENSE file in the repository for more details.
+
+Thank you for visiting our image processing tutorials. We hope you find these resources helpful and inspiring as you embark on your journey through the fascinating world of image processing!