Contemporary social and cultural life is increasingly organised around a logic of self-transformation, where changing the body is seen as key. Transforming Images examines how the future functions within this transformative logic to indicate the potential of a materially better time. The book explores the crucial role that images have in organising an imperative for transformation and in making possible, or not, the materialisation of a better future. Coleman asks the questions: which futures are appealing and to whom? How do images tap into and reproduce wider social and cultural processes of inequality? Drawing on the recent ‘turns’ to affect and emotion and to understanding life in terms of vitality, intensity and ‘liveness’ in social and cultural theory, the book develops a framework for understanding images as felt and lived out. Analysing different screens across popular culture – the screens of shopping, makeover television programmes, online dieting plans and government health campaigns – it traces how images of self-transformation bring the future into the present and affectively ‘draw in’ some bodies more than others. Transforming Images will be of interest to students and scholars working in sociology, media studies, cultural studies and gender studies.

The author seeks to discern the distinctive character of photography as an art, asking why similar images affect us differently and how our reaction to a photograph of a painting is different to the response to the painting. She demonstrates "perceived realism" and the transformation of images.

Contemporary social and cultural life is increasingly organised around a logic of self-transformation, where changing the body is seen as key. Transforming Images examines how the future functions within this transformative logic to indicate the potential of a materially better time. The book explores the crucial role that images have in organising an imperative for transformation and in making possible, or not, the materialisation of a better future. Coleman asks the questions: which futures are appealing and to whom? How do images tap into and reproduce wider social and cultural processes of inequality? Drawing on the recent ‘turns’ to affect and emotion and to understanding life in terms of vitality, intensity and ‘liveness’ in social and cultural theory, the book develops a framework for understanding images as felt and lived out. Analysing different screens across popular culture – the screens of shopping, makeover television programmes, online dieting plans and government health campaigns – it traces how images of self-transformation bring the future into the present and affectively ‘draw in’ some bodies more than others. Transforming Images will be of interest to students and scholars working in sociology, media studies, cultural studies and gender studies.

Winner of the ACE / Mercers' Book Award 2014 Spectacular Miracles confronts an enduring Western belief in the supernatural power of images: that a statue or painting of the Madonna can fly through the air, speak, weep, or produce miraculous cures. Although contrary to widely held assumptions, the cults of particular paintings and statues held to be miraculous have persisted beyond the middle ages into the present, even in a modern European city such as Genoa, the primary focus of this book. Drawing upon rich documentation from northwest Italy and elsewhere, Spectacular Miracles shows how these images “work” in a range of historical contexts. Jane Garnett and Gervase Rosser vividly evoke ritual animation of the image and the phenomenology of the beholder’s experience. These images, they demonstrate, have the subversive potential of the miraculous image to bypass clerical and secular authority, a power enhanced by reproducibility—devotion is hard to control when a copy of a venerated image is held to carry the same supernatural potential as the original, even when in a digital form mediated by the Internet. Engaging with the history, anthropology, and visual culture of images and religion, Spectacular Miracles is a convincing study of the continuing power of faith and art.

This book describes a groundbreaking concept that enables public libraries—and librarians—to become indispensable by following a "Three Pillars" educational approach, and by replacing traditional terms with powerful, intuitive, value-enhanced terminology that everyone understands. While there is no question that what librarians and library professionals do is critically important, the ways in which these roles and responsibilities are described can mean the difference between being valued as essential to the community or considered optional. Something as simple as a choice of words can determine what is valued—and consequently what gets funded, and what gets canceled. Transforming Our Image, Building Our Brand: The Education Advantage examines how the "Three Pillars" approach harnesses the power of language to enhance respect, generate increased perceived value, and garner funding. The power stems from positioning all that library professionals do under three, easy-to-remember "pillars," and replacing typical library terms and phrases with bold, value-enhanced terminology that commands value—language that people outside of the field can immediately understand. This book is essential reading for public library staff members at all levels of the organization, especially those in leadership roles; and its root concepts are applicable for all other library types as well.

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along parallel rays to more quickly and accurately reconstruct images from a finite number of projections, thereby avoiding overradiation of the body during a computed tomography (CT) scan. The book presents several new ideas, concepts, and methods, many of which have not been published elsewhere. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. The authors supply numerous examples, MATLAB®-based programs, end-of-chapter problems, and experimental results of implementation. The main approach for image reconstruction proposed by the authors differs from existing methods of back-projection, iterative reconstruction, and Fourier and Radon filtering. In this book, the authors explain how to process each projection by a system of linear equations, or linear convolutions, to calculate the corresponding part of the 2-D tensor or paired transform of the discrete image. They then describe how to calculate the inverse transform to obtain the reconstruction. The proposed models for image reconstruction from projections are simple and result in more accurate reconstructions. Introducing a new theory and methods of image reconstruction, this book provides a solid grounding for those interested in further research and in obtaining new results. It encourages readers to develop effective applications of these methods in CT.

This book first introduces classic as well as recent computational models for just-noticeable-difference (JND) applications. Since the discrete cosine transform (DCT) is applied in many image and video standards (JPEG, MPEG-1/2/4, H.261/3), the book also includes a comprehensive survey of computational models for JND that are based on DCT. The visual factors used in these computational models are reviewed in detail. Further, an extensive comparative analysis of these models using quantitative and qualitative performance criteria is presented, which compares the noise shaping performance of these models with subjective evaluation and the accuracy between the estimated JND thresholds and subjective evaluation. There are many surveys available on computational models for JND; however, these surveys seldom compare the performance of computational models that are based on DCT. The authors’ survey of the computational models and their in-depth review of the visual factors used in them will help readers understand perceptual image coding based on DCT. The book also provides a comparative analysis of several perceptual image coders that are based on DCT, which are compatible with the highly popular and widely adopted JPEG standard.