Includes bibliographical references and index.
|Statement||Bernice E. Rogowitz, Thrasyvoulos N. Pappas, chairs/editors ; sponsored by IS&T--the Society for Imaging Science and Technology [and] SPIE--the International Society for Optical Engineering.|
|Series||SPIE proceedings series ;, v. 3299, Proceedings of SPIE--the International Society for Optical Engineering ;, v. 3299|
|Contributions||Rogowitz, Bernice Ellen, 1951-, Pappas, Thrasyvoulos N., Society of Photo-optical Instrumentation Engineers., IS & T--the Society for Imaging Science and Technology.|
|LC Classifications||TA1637 .H843 1998|
|The Physical Object|
|Pagination||xii, 628 p. :|
|Number of Pages||628|
|LC Control Number||98227304|
A dominant theme in the book is image compression―how compression algorithms can be designed to make best use of what we know about human vision. Electronic image communications, which encompass television, high-definition television, teleconferencing, multimedia, digital photography, desktop publishing, and digital movies, is a rapidly Format: Hardcover. This paper reviews the interplay between human vision and electronic imaging, describing how the methods, models and experiments in human vision have influenced the development of imaging systems, and how imaging technologies and applications have raised new research questions for the vision community. Using the past decade of papers from the Cited by: Human Vision and Electronic Imaging XVII on *FREE* shipping on qualifying offers. Human Vision and Electronic Imaging XVII. In Human Vision and Electr onic Imaging XVII, ed. Bernice E. Rogowitz, Thrasyvoulos N. P appas, Huib de Ridder, Proc. of SPIE - IS&T Electronic Imaging, SPIE Vol. ,
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Human Vision and Electronic Imaging III, San Jose, CA, USA, Janu SPIE Proceedings , SPIE , ISBN Keynote Session: Perspectives in Perception and . These fifteen contributions by distinguished vision and imaging scientists explore the role of human vision in the design of modem image communication systems. A dominant theme in the book is image compression—how compression algorithms can be designed to make best use of what we know about human vision. Experimental studies about the applicability of the CQM on a well-known test image under 6 different distortions, both perceivable by the human vision system and with the same PSNR value (i.e. Human Vision and Electronic Imaging (HVEI) Image Processing: Algorithms and Systems XIX (IPAS) Image Quality and System Performance XVIII (IQSP) Imaging and Multimedia Analytics in a Web and Mobile World (IMAWM) Imaging Sensors and Systems (ISS) Intelligent Robotics and Industrial Applications using Computer Vision (IRIACV).