Print Email Facebook Twitter Computational visual distinctness metric Title Computational visual distinctness metric Author Martínez-Baena, J. Toet, A. Fdez-Vidal, X.R. Garrido, A. Rodríguez-Sánchez, R. TNO Technische Menskunde Publication year 1998 Abstract A new computational visual distinctness metric based on principles of the early human visual system is presented. The metric is applied to quantify (1) the visual distinctness of targets in complex natural scenes and (2) the perceptual differences between compressed and uncompressed images. The new metric is shown (1) to predict human observer performance in search and detection tasks on complex natural imagery, (2) to correlate with visual target distinctness estimated by human observers, and (3) to correlate with the quality factor of Joint Photographic Experts Group (JPEG) compressed imagery. © 1998 Society of Photo-Optical Instrumentation Engineers. Subject VisionImage compressionPerceptual error metricTarget distinctnessVision modelVisual search To reference this document use: http://resolver.tudelft.nl/uuid:07c185f0-7725-4e98-97ad-4a443f6c827e TNO identifier 234521 ISSN 0091-3286 Source Optical Engineering, 37 (7), 1995-2005 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.