Document Image Noises and Removal Methods

Gayatri. D. Patil¹ , Lubdha. M. Bendale² , Roshani. L. Jain³

Section:Research Paper, Product Type: Journal Paper
Vol.06 , Special Issue.01 , pp.48-63, Jan-2018

Online published on Jan 31, 2018

Copyright © Gayatri. D. Patil, Lubdha. M. Bendale, Roshani. L. Jain . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  

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Abstract :
Document Image processing is the process in which, the important paper document like annual reports , certificates, charter, concept statement, news papers, Xerox papers or many others are first scanned and then stored that scanned images in the hard Disk or any particular location. The stored images will be in compatible electronic format, which images we can access easily. Document image processing (DIP) is management of documents throughout their life cycle from creation to death. It includes the capture of documents as digital images, typically by means of document scanners, and the storage, indexing, retrieval, processing, transmission, and printing of these documents.Document images contaminated by noise during scanning, transmission or conversion to digital form.

Key-Words / Index Term :
Noise-Marginal, Max & Min, Median, Wiener, Midpoint

References :
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5) Farahmand, A., Sarrafzadeh, ,. A., & Shanbehzadeh, J. (2013). Document Image Noises and Removal Methods. Proceedings of the International MultiConference of Engineers and Computer Scientists, I.
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