Trainable blotch detection on high resolution archive films minimizing the human interaction

Machine Vision and Applications

Volumn 21, Issue 5, 2010, Pages 767-777

  Licsár, Attila ^a   Szirányi, Tamás ^b   Czúni, László ^a  

^a UNIVERSITY OF PANNONIA   (Hungary)

^b INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Blotch detection; Digital film restoration; Motion estimation; Object classification

Indexed keywords

ARCHIVE FILMS; AUTOMATIC DETECTION; BLOTCH DETECTION; BLOTCH DETECTORS; COMPUTATIONAL COSTS; DETECTION METHODS; DIGITAL FILM RESTORATION; EVALUATION TECHNIQUES; FALSE ALARM REDUCTIONS; FALSE ALARMS; FALSE DETECTIONS; FILM DEGRADATION; GROUND TRUTH; HIGH RESOLUTION; HIGH RESOLUTION IMAGE; HUMAN INTERACTIONS; INTERACTIVE PROCESS; MACHINE LEARNING TECHNIQUES; MANUAL INTERACTION; MANUAL INTERVENTION; MANUAL WORK; OBJECT CLASSIFICATION; OBJECT-BASED METHODS; PIXEL POSITION; POST PROCESSING; QUALITY METRICES; RESTORATION PROCESS; TRADITIONAL SYSTEMS;

ALARM SYSTEMS; ERRORS; ESTIMATION; IMAGE QUALITY; LEARNING ALGORITHMS; MATHEMATICAL OPERATORS; MOTION ESTIMATION; PHOTOGRAPHIC FILMS; PIXELS; RESTORATION; SECURITY OF DATA;

DETECTORS;

EID: 77956616613     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-007-0106-y     Document Type: Article

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