Title :
Automatic film restoration: Metadata driven detection and removal of scratch and dirt
Author :
Theis, Oliver ; Köhler, Ralf
Author_Institution :
Deutsche Thomson OHG, Hannover, Germany
Abstract :
Motion picture films are often affected by scratch and dirt objects that reduce their quality. Manual restoration of digitized films is a time consuming and expensive business. We therefore present an automatic, three-step restoration process that generates editable metadata for quality control and reporting. For this, scratch and dirt detection and removal algorithms have been developed that do not require manual parameter adjustment. This solution is especially suited for restoration of large film archives with limited temporal and financial effort, but can also be applied to individual cases that require excellent quality.
Keywords :
cinematography; image motion analysis; image restoration; quality control; automatic film restoration; dirt removal; metadata driven detection; motion picture films; quality control; scratch removal; automatic; detection; dirt; film; metadata; process; removal; restoration; scratch; workflow;
Conference_Titel :
Electronic Media Technology (CEMT), 2011 14th ITG Conference on
Conference_Location :
Dortmund
Print_ISBN :
978-1-4577-1269-2
Electronic_ISBN :
978-3-00-033964-6