The project is designed for improvement in the quality of the image after restoration. The main content would be implemented detection of cracks, filtering out misidentified cracks and crack filling in digitized paintings. Detection of cracks on very dark image areas where crack detection stage is not efficient. Use of non linear multichannel .filters for crack .filling.The technique consists of the following stages:
- Crack detection;
- Separation of the thin dark brush strokes, which have been misidentified as cracks;
- Crack filling.
Reference Paper-1: Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings
Author’s Name: Ioannis Giakoumis, Nikos Nikolaidis, and Ioannis Pitas
Source: IEEE
Year: 2006 Reference Paper-2: Detection and Removal of Cracks in Digitized Paintings
Author’s Name: Rakshama J Bhingi
Source: Master's Thesis-Goa University Year: 2013
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