Provides comprehensive treatment of image processing, with emphasis on those aspects of the most widely used in computer graphics and vision, this fully revised second edition concentrates on describing and analyzing the concepts that underlie this subject. As a modern introduction to a topic like this, a good balance is struck between discussing the underlying mathematics and the main topics of signal processing, data discretization, color theory and color of different systems, operating in the picture, dithering and half-toning, warping and morphing , and image processing. Significantly expanded and revised, this easy to follow text / reference reflects the latest trends in science and technology to exploit the image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered, such as probability theory for image processing, and focus on applications in image analysis and computer vision. Features: ? Adopting a conceptual approach with an emphasis on mathematical concepts and their application Introducing a mathematical model abstraction paradigm associated with image processing techniques and methods of execution - used throughout to aid understanding of the mathematical theory and practical use? ? Focusing on the important aspects of image processing in computer graphics and vision applications ?