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.
Ardizzone, E., Dindo, H., & Mazzola, G. (2010). Multi-Directional Scratch Detection and Restoration in Digitized Images. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2010.
|Data di pubblicazione:||2010|
|Titolo:||Multi-Directional Scratch Detection and Restoration in Digitized Images|
|Citazione:||Ardizzone, E., Dindo, H., & Mazzola, G. (2010). Multi-Directional Scratch Detection and Restoration in Digitized Images. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2010.|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1155/2010/680429|
|Settore Scientifico Disciplinare:||Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni|
|Appare nelle tipologie:||1.01 Articolo in rivista|