Spatial-Temporal Method for Image Restoration in Aged Motion Pictures

This paper proposes a series of defect detection algorithms for video in painting. The proposed algorithms are developed based on adjustable thresholds and the primary focus of these algorithms is to provide a better way to repair different kinds of aged films. Two major defect detection techniques that have been created in this study are automatic spike and dirt detection mechanism. Several important findings have been released in the study. First, the findings indicate that if the user is able to choose appropriate threshold, most damages in an aged video clip can be detected. Second, the findings exhibit that spatial information can be used to repair certain damages, which can not be fixed by temporal information due to fast motion. Finally, the results of this study are visually pleasant with most defects removed.