Jeevarekha, Gunasegran Improving image denoising methods for PDF image files. [Final Year Project Report] (Unpublished)
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Abstract
The field of image processing is one which is highly researched for that one algorithm which can perform the best in all conditions. The restoration of historical documents is one branch of the field whereby there are many existing documents in degraded conditions which need restoration. These documents are contaminated with salt-and-pepper noise which occurs during scanning of the documents into PDF format files. The project look into finding the best algorithm that can denoise the PDF files and improve the appearance of the image files. Two algorithms are implemented and tested and a new algorithm is proposed for this purpose. The proposed algorithm produces promising results which are visually perceptual. Future works can focus on testing the new algorithm on other historical documents.
| Item Type: | Final Year Project Report |
|---|---|
| Additional Information: | Project Report (B.Sc.) -- Universiti Malaysia Sarawak, 2013. |
| Uncontrolled Keywords: | historical documents, salt-and-pepper noise, PDF files |
| Subjects: | J Political Science > J General legislative and executive papers Q Science > QA Mathematics |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Dan |
| Date Deposited: | 02 Aug 2022 03:00 |
| Last Modified: | 11 Jul 2023 09:00 |
| URI: | http://ir.unimas.my/id/eprint/39015 |
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