This book delves into the fundamentals and cutting-edge developments in digital image processing, beginning with core concepts such as image formulation, acquisition, enhancement, and restoration. It guides readers through the scientific principles behind digital images—how they are formed, processed, and refined for improved interpretation. With practical examples ranging from gamma-ray and X-ray imaging to color and infrared processing, the book bridges theoretical foundations with real-world applications. Emphasizing both classical techniques and modern research trends, including machine learning-based methods, this work is ideal for students, researchers, and professionals aiming to master the complexities and innovations in visual data analysis.
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