A concise and accessible guide to techniques for detecting doctored
and fake images in photographs and digital media. Stalin, Mao,
Hitler, Mussolini, and other dictators routinely doctored
photographs so that the images aligned with their messages. They
erased people who were there, added people who were not, and
manipulated backgrounds. They knew if they changed the visual
record, they could change history. Once, altering images required
hours in the darkroom; today, it can be done with a keyboard and
mouse. Because photographs are so easily faked, fake photos are
everywhere-supermarket tabloids, fashion magazines, political ads,
and social media. How can we tell if an image is real or false? In
this volume in the MIT Press Essential Knowledge series, Hany Farid
offers a concise and accessible guide to techniques for detecting
doctored and fake images in photographs and digital media. Farid,
an expert in photo forensics, has spent two decades developing
techniques for authenticating digital images. These techniques
model the entire image-creation process in order to find the
digital disruption introduced by manipulation of the image. Each
section of the book describes a different technique for analyzing
an image, beginning with those requiring minimal technical
expertise and advancing to those at intermediate and higher levels.
There are techniques for, among other things, reverse image
searches, metadata analysis, finding image imperfections introduced
by JPEG compression, image cloning, tracing pixel patterns, and
detecting images that are computer generated. In each section,
Farid describes the techniques, explains when they should be
applied, and offers examples of image analysis.
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