6533b82dfe1ef96bd1290b55
RESEARCH PRODUCT
Multidirectional Scratch Detection and Restoration in Digitized Old Images
Edoardo ArdizzoneGiuseppe MazzolaHaris Dindosubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryOrientation (computer vision)lcsh:ElectronicsProcess (computing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:TK7800-8360Image processingImage processing Scratch detectionImage restorationScratchFace (geometry)Signal ProcessingPattern recognition (psychology)Line (geometry)Computer visionArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerImage restorationInformation Systemscomputer.programming_languageImage restoration; Image processing Scratch detectiondescription
Line scratches are common defects in old archived videos, but similar imperfections may occur in printed images, in most cases by reason of improper handling or inaccurate preservation of the support. Once an image is digitized, its defects become part of that image. Many state-of-the-art papers deal with long, thin, vertical lines in old movie frames, by exploiting both spatial and temporal information. In this paper we aim to face with a more challenging and general problem: the analysis of line scratches in still images, regardless of their orientation, color, and shape. We present a detection/restoration method to process this defect.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-01-01 | EURASIP Journal on Image and Video Processing |