High fidelity imaging [Elektronische Ressource] : the computational models of the human visual system in high dynamic range video compression, visible difference prediction and image processing / vorgelegt von Rafał Mantiuk

–HIGH-FIDELITY IMAGING–THE COMPUTATIONAL MODELS OFTHE HUMAN VISUAL SYSTEM INHIGH DYNAMIC RANGE VIDEO COMPRESSION,VISIBLE DIFFERENCE PREDICTION ANDIMAGE PROCESSINGDISSERTATIONZUR ERLANGUNG DES GRADES DESDOKTORS DER INGENIEURWISSENSCHAFTEN (DR.-ING.)¤DER NATURWISSENSCHAFTLICH-TECHNISCHEN FAKULTATEN¤DER UNIVERSITAT DES SAARLANDESVORGELEGT VONRAFA MANTIUK¤EINGEREICHT AM 10. JULI 2006 IN SAARBRUCKENDatum des Kolloqiums: 14.12.2006Betreuender Hochschullehrer – Supervisor:Dr.-Ing. habil. Karol Myszkowski, MPI fur¤ Informatik, Saarbruk¤ en, GermanyGutachter – Reviewers:¤ ¤Dr.-Ing. habil. Karol Myszkowski, MPI fur Informatik, Saarbruken, GermanyProf. Dr. Hans-Peter Seidel, MPI fur¤ Informatik, Saarbruk¤ en, GermanyProf. Dr. Sumanta N. Pattanaik, University of Central Florida, USADekan – Dean:Prof. Dr. Thorsten Herfet, Universitat¤ des Saarlandes, Saarbruk¤ en, Germany3AbstractAs new displays and cameras offer enhanced color capabilities, there is a need to extendthe precision of digital content. High Dynamic Range (HDR) imaging encodes imagesand video with higher than normal bit-depth precision, enabling representation of thecomplete color gamut and the full visible range of luminance.This thesis addresses three problems of HDR imaging: the measurement of visible dis-tortions in HDR images, lossy compression for HDR video, and artifact-free imageprocessing.