Studying digital imaging, mastering this profession and working in the area is not possible without obtaining practical skills based on fundamental knowledge in the subject. In this book Prof. Yaroslavsky delivers a complete practical course in digital imaging aimed at advanced students and practitioners. Covering all areas of digital imaging the text provides a theoretical outline of each topic before offering a range of Matlab(R) based exercises. Augmented by numerous colour illustrations and video files, the text allows readers to gain a practical understanding of the key topics in digital imaging and manipulation. Key features include: The book supports studying all aspects of digital imaging from image signal digitization to image parameter estimation, recovery, restoration and enhancement. Exercises are designed and implemented in Matlab(R). Matlab(R) source codes for exercises are provided, which enables readers to modify them for particular needs and tastes, to design new exercises and, in addition, to use them for solving particular image processing tasks. Exercises are supported by outlines of the corresponding theory. Test signals and images provided in the book as well as methodology of the experiments will be useful for readers in their further studies and practical work.