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This lecture introduces the fundamentals of image processing, covering topics such as image representation, digital image acquisition, color images, and components of an imaging system. It also explores the future trends and applications of image processing, emphasizing growth indicators and technological advancements. The course includes practical work through computer laboratories using Jupyter Notebooks and industry-level technologies like Python and JavaScript. Students will apply image processing algorithms on real images, gaining hands-on experience with image processing systems. The lecture aims to provide a comprehensive understanding of image processing concepts and tools.