A scheme for salt and pepper noise reduction on graylevel and color images

Authors:
Nucharee Premchaiswadi;Sukanya Yimngam;Wichian Premchaiswadi
Affiliations:
Faculty of Information Technology, Dhurakijpundit University, Bangkok, Thailand;Faculty of Resources and Environment, Kasetsart University, Bangkok, Thailand;Graduate School of Information Technology, Siam University, Bangkok, Thailand
Venue:
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Year:
2009

Citing 3
Cited 1

The RightPages Image-Based Electronic Library for Alerting and Browsing

Computer
Document image analysis

Document image analysis
Digital Image Processing

Digital Image Processing

A scheme for salt and pepper noise reduction and its application for OCR systems

WSEAS Transactions on Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

Noise in images can be found in almost scanning documents. The picture and text can be contaminated by additive noise from document scanning process or dirtiness in the document itself. This paper presents a scheme for Salt and Pepper noise reduction. This scheme combines the characteristics of an Applied kFill Algorithms and Median Filter by using window size of 3×3 and 5×5, depends on size of Salt and Pepper noise. The aim of this technique is to increase PSNR of picture images in the scanning documents. The experimental results show that the proposed scheme can remove Salt and Pepper noise better than the used of Applied kFill Algorithms and Median Filter. This scheme also can be apply in binary, gray scale, and color format of documents.