Project Title
Removal of Defects from Images using Image Reconstruction Techniques
Abstract
Images are extensively used in many fields due to their ability to capture valuable scientific, cultural or artistic data. However, these images are often afflicted by different types of degradations which reduce their value. The aim of this project is to show how reconstruction is being used to solve the above-mentioned problem, more particularly in the restoration of images containing defects. Consequently, three techniques have been implemented namely the semi-transparent blotch removal method, the image noise removal method and an extended version of the line scratch correction algorithm. User involvement in the reconstruction processes is required since defect detection is manual, but the actual restoration process is fully automatic or at least semi-automatic depending on the technique. The results obtained show the successful restoration of defects belonging to the following categories: semi-transparent blotches, line scratches and non-transparent defects like spots, blotches or other unwanted objects.
Report Download
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Demo Download
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File
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File Description
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Size
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DemoProject.exe
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Software demo
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280 KB
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Presentation Slides Download
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File
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File Description
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Size
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presentation.pdf
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Presentation Handout (4 Slides per page)
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1.81 MB
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