This book explores the domain of image processing using Python, with the help of working examples and accompanying code. Aimed at researchers and advanced students with a knowledge of image processing fundamentals, this book introduces Python programming via image processing and provides numerous hands-on examples and code snippets. The book will enable readers to appreciate the power of Python in this field, write their own code, and implement complex image processing algorithms such as image enhancement, compression, restoration, segmentation, watermarking, and encryption, and be able to incorporate machine learning models using relevant Python libraries. This book is prepared to meet the needs of young researchers and professionals who are about to start their research journey in the domain of image processing. This book will help readers develop their own applications, whether for software-based implementation or simulation and testing before a final hardware implementation. Python for image processing applications has grown tremendously due to its open-source nature and excellent library support. Professionals, students, and researchers working in the image processing domain find it helpful to use pre-existing libraries. They can even create their own library and make it available for others to use. These qualities led to an excellent growth in the popularity of Python.

Image Processing with Python: A practical approach PDF

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