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Ledisi Giok Kabari
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience

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DIGITIZED PAINTINGS FOR CRACK DETECTION AND RESTORATION USING MEDIAN FILTER AND THRESHOLD ALGORITHM Ukpe, Kufre Christopher; Ledisi Giok Kabari
International Journal of Human Computing Studies Vol. 3 No. 4 (2021): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v3i4.1976

Abstract

Due to a variety of factors such as long time storage, dry environment, and volatilization of painting,some cracks and stains may appear on the surface of the oil paintings. These tend to seriously affect the value of the paintings. Image restoration techniques are proving to be of great help in the analysis and documentation of our cultural heritage. Digital image restoration techniques provide a multitude of choices for improving the visual quality of images. In this work, we propose a multi-dimensional median filter and threshold algorithm for detection and removal of cracks in digital images. The work conducts an analysis of multi-dimensional median filter and threshold algorithm for effective restoration of cracks in digitized painting using the Java programming language version 8.0. To demonstrate the usefulness of this technique, cracked images of different resolution are collected for use in testing the efficiency of these models. The results show a remarkable difference between the original and enhanced images. This work is implemented using the Java programming language on Netbeans IDE.
Co-Authors Ukpe, Kufre Christopher