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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