Evaluation of Restoration Schemes for Bi-Level Digital Image Degraded by Impulse Noise


The KIPS Transactions:PartB , Vol. 13, No. 4, pp. 369-376, Aug. 2006
10.3745/KIPSTB.2006.13.4.369,   PDF Download:

Abstract

The degradation and its inverse modeling can achieve restoration of corrupted image, caused by scaled digitization and electronic transmission. De-speckle process on the noisy document(or SAR) images is one of the basic examples. Non-linearity of the speckle noise model may hinder the inverse process. In this paper, our study is focused on investigation of the restoration methods for bi-level document image degraded by the impulse noise model. Our study shows that, on bi-level document images, the weighted-median filter and the Lee filter methods are very effective among other spatial filtering methods, but wavelet filter method is ineffective in aspect of processing speed: approximately 100 times slower. Optimal values of the weight to be used in the weighted median filter are investigated and presented in this paper.


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Cite this article
[IEEE Style]
H. K. Shin and J. S. Shin, "Evaluation of Restoration Schemes for Bi-Level Digital Image Degraded by Impulse Noise," The KIPS Transactions:PartB , vol. 13, no. 4, pp. 369-376, 2006. DOI: 10.3745/KIPSTB.2006.13.4.369.

[ACM Style]
Hyun Kyung Shin and Joong Sang Shin. 2006. Evaluation of Restoration Schemes for Bi-Level Digital Image Degraded by Impulse Noise. The KIPS Transactions:PartB , 13, 4, (2006), 369-376. DOI: 10.3745/KIPSTB.2006.13.4.369.