-This catalogue accompanies the exhibition Technologies of the Image: Art in 19th-Century Iran, on view at the Harvard Art Museums, Cambridge, Massachusetts, from August 26, 2017 through January 7, 2018.-

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, this text/reference tracks the evolution and advancement of CVIP technologies - examining methods and algorithms for image analysis, optimization, segmentation, and restoration.

Beyond the Image Machine: A History of Visual Technologies is an eloquent and stimulating argument for an alternative history of scientific and technological imaging systems. It explores the ways in which the technological medium through which a piece of visual art is rendered contributes significantly to the experience of the human looking at it. Through a series of studies of individual art works, David Tomas gives a fascinating and wholly original account of the relationship between visual technology and human sensory perception. Illustrated throughout, the book draws on a range of hitherto marginalised examples from the world of visual representation. In examining these art works and, it draws upon the work of such key theorists as Latour, de Certeau, Mc Luhan and Barthes. Beyond the Image Machine is an original and contribution to the study of visual culture and the technologies that mediate it. It is a book that changes the terms of the debate and redefines the discipline. Anyone studying, teaching or researching in this area will find it a rich source of ideas and inspiration.

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, Image Processing Technologies tracks the evolution and advancement of computer vision and image processing (CVIP) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and techniques in CVIP applications development and explores various coding methods for individual types of 3-D images. This text/reference brings researchers and specialists up-to-date on the latest innovations affecting multiple image processing environments.

These essays address the epistemological, aesthetic and political implications of scale in both scholarly and artistic work. From the mass image in vernacular culture to transformations of photography in contexts of big data and artificial intelligence, they explore the massification of photography.

This book constitutes the referred proceedings of the 8th China Conference on Image and Graphics Technologies and Applications, IGTA 2014, held in Beijing, China, in June 2014. The 39 papers presented were carefully reviewed and selected from 110 submissions. They cover various aspects of research in image processing and graphics and related topics, including object detection, pattern recognition, object tracking, classification, image segmentation, reconstruction, etc.

This book constitutes the refereed proceedings of the 17th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2022, held in Beijing, China, during April 23–24, 2022. The 25 full papers included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/Video big data analysis and understanding; computer graphics; visualization and visual analysis; applications of image and graphics.

Image and Video Processing is an active area of research due to its potential applications for solving real-world problems. Integrating computational intelligence to analyze and interpret information from image and video technologies is an essential step to processing and applying multimedia data. Emerging Technologies in Intelligent Applications for Image and Video Processing presents the most current research relating to multimedia technologies including video and image restoration and enhancement as well as algorithms used for image and video compression, indexing and retrieval processes, and security concerns. Featuring insight from researchers from around the world, this publication is designed for use by engineers, IT specialists, researchers, and graduate level students.