Image Processing for Cinema presents a detailed overview of image processing techniques that are used in practice in digital cinema. The book shows how image processing has become ubiquitous in movie-making, from shooting to exhibition. It covers all the ways in which image processing algorithms are used to enhance, restore, adapt, and convert moving images. These techniques and algorithms make the images look as good as possible while exploiting the capabilities of cameras, projectors, and displays. The author focuses on the ideas behind the methods, rather than proofs and derivations. The first part of the text presents fundamentals on optics and color. The second part explains how cameras work and details all the image processing algorithms that are applied in-camera. With an emphasis on state-of-the-art methods that are actually used in practice, the last part describes image processing algorithms that are applied offline to solve a variety of problems. The book is designed for advanced undergraduate and graduate students in applied mathematics, image processing, computer science, and related fields. It is also suitable for academic researchers and professionals in the movie industry.

Image Processing for Cinema presents a detailed overview of image processing techniques that are used in practice in digital cinema. The book shows how image processing has become ubiquitous in movie-making, from shooting to exhibition. It covers all the ways in which image processing algorithms are used to enhance, restore, adapt, and convert movi

With crystal clarity, this book conveys the most current principles in digital image processing, providing both the background theory and the practical applications to various industries, such as digital cinema, video compression, and streaming media.

First Published in 2006. Routledge is an imprint of Taylor & Francis, an informa company.

Explores how film analysis can take account of the presence of digital images in cinema. Not just for digital effects enthusiasts, this book is essential for anyone interested in how to approach film critically: it is a toolbox for contemporary film analy

In Discorrelated Images Shane Denson examines how computer-generated digital images displace and transform the traditional spatial and temporal relationships that viewers had with conventional analog forms of cinema. Denson analyzes works ranging from the Transformers series and Blade Runner 2049 to videogames and multimedia installations to show how what he calls discorrelated images—images that do not correlate with the abilities and limits of human perception—produce new subjectivities, affects, and potentials for perception and action. Denson's theorization suggests that new media theory and its focus on technological development must now be inseparable from film and cinema theory. There's more at stake in understanding discorrelated images, Denson contends, than just a reshaping of cinema, the development of new technical imaging processes, and the evolution of film and media studies: discorrelated images herald a transformation of subjectivity itself and are essential to our ability to comprehend nonhuman agency.

Discusses the theoretical implications of the cinematographic image based on Henri Bergson's theories