This work describes at a fundamental level the principles of Digital Image Processing, discussing signals, systems and information theory before applying these topics specifically to images. Great care is taken to stress those principles which appear in different contexts. It stresses very general mathematical principles, focusing upon the close connection with classical mathematical disciplines such as algebra, geometry and statistics. Recent developments in digital image processing are boiled down to their mathematical essence. The book contains extensive treatment of the important new field of digital image restoration ("de-blurring" or "de-smearing") and many powerful or "optimal" methods are introduced, for example, signal approximation, coding, segmentation, estimation and interpolation. This description may be from another edition of this product.
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