Today Dounya Awada is a 24-year-old, devout Muslim, happy, healthy, and very much alive. But just a few years before, she nearly starved to death. Her struggle began when she was six years old. Little Dounya wanted nothing less than to be perfect, like her mother. She pushed herself hard every day, excelling in schoolwork and at home. She had to be the cutest, prettiest, smartest girl in the room. The slightest hint of imperfection led to meltdowns and uncontrollable tantrums. Her parents loved her fiercely but were unable to understand what was happening to their little girl. In Dounya's culture, food is nearly synonymous with love. Dounya began to eat to fill the growing need within her. She grew in size, eventually hitting over 200 pounds at just age 15. Food became her only friend. Her peers mocked her. She felt utterly alone. As is the case for someone with dysmorphia, Dounya's obsession with food did a turnabout, and she began rigorous exercising and dieting. But even a substantial weight loss didn't satisfy her. She looked in the mirror and still saw the fat girl she used to be. She began the ugly cycle of bingeing and purging, until she weighted just 73 pounds"--

This book discusses the privileging and prohibition of religious images over two and a half millennia in the West.

The considerations offered in this analysis of the conditions required for the conservation of early photographs will help inform difficult ethical decision-making by curators faced with the conflicting obligations of access and conservation, and will also be of interest to photohistorians, conservators and collectors.

One of the most intriguing questions in image processing is the problem of recovering the desired or perfect image from a degraded version. In many instances one has the feeling that the degradations in the image are such that relevant information is close to being recognizable, if only the image could be sharpened just a little. This monograph discusses the two essential steps by which this can be achieved, namely the topics of image identification and restoration. More specifically the goal of image identifi cation is to estimate the properties of the imperfect imaging system (blur) from the observed degraded image, together with some (statistical) char acteristics of the noise and the original (uncorrupted) image. On the basis of these properties the image restoration process computes an estimate of the original image. Although there are many textbooks addressing the image identification and restoration problem in a general image processing setting, there are hardly any texts which give an indepth treatment of the state-of-the-art in this field. This monograph discusses iterative procedures for identifying and restoring images which have been degraded by a linear spatially invari ant blur and additive white observation noise. As opposed to non-iterative methods, iterative schemes are able to solve the image restoration problem when formulated as a constrained and spatially variant optimization prob In this way restoration results can be obtained which outperform the lem. results of conventional restoration filters.