Aesthetics in digital photography / Henri Ma�itre.
By: Ma�itre, H. (Henri) [author.]
Language: English Series: Interdisciplinarity, science and humanities series: Publisher: London : Hoboken, NJ : ISTE Ltd ; John Wiley & Sons, Inc., 2023Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781786307538 ; 9781394225958; 1394225954; 9781394225972; 1394225970Subject(s): Photography -- Digital techniques | Image processing | AestheticsGenre/Form: Electronic books.DDC classification: 770.1 LOC classification: TR267 | .M35 2023Online resources: Full text is available at Wiley Online Library Click here to view Summary: Aesthetics in Digital Photography presents theories developed over the last 25 centuries by philosophers and art critics, who have sometimes been governed by the objectivity of perception, and other times, of course, by the subjectivity of human judgement. It explores the advances that have been made in neuro-aesthetics and their current limitations. In the field of photography, this book puts aesthetic hypotheses up against experimental verification, and then critically examines attempts to "scientifically" measure this beauty. Special attention is paid to artificial intelligence techniques, taking advantage of machine learning methods and large databases. Show less.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY | 770.1 M2878 2023 (Browse shelf) | Available |
Includes bibliographical references and index.
Aesthetics in Digital Photography presents theories developed over the last 25 centuries by philosophers and art critics, who have sometimes been governed by the objectivity of perception, and other times, of course, by the subjectivity of human judgement. It explores the advances that have been made in neuro-aesthetics and their current limitations. In the field of photography, this book puts aesthetic hypotheses up against experimental verification, and then critically examines attempts to "scientifically" measure this beauty. Special attention is paid to artificial intelligence techniques, taking advantage of machine learning methods and large databases. Show less.
About the Author
Henri Maître is Emeritus Professor at Télécom-Paris in France and was director of research at Télécom-Paris and the LTCI laboratory. He specializes in image processing and pattern recognition.
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