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Removing impulse noise images by using decision tree algorithm


Sethu, Devika and Hasoon, Feras N. and Hasson, Nebras N. and Al-Assadi, Hayder M. A. Ali (2007) Removing impulse noise images by using decision tree algorithm. In: 1st Regional Conference on Computational Science and Technologies (RCCST 2007), 29-30 Nov. 2007, Shangri-la Tanjung Aru Resort and Spa, Kota Kinabalu, Sabah. (pp. 460-463).


Presently, a digital image is obtained through a suitable digital imaging system. Although the current technology has tremendously advanced, no imaging system is perfect in generating images that are identical to their originals because of the inherent physical limitations. During the filtering of noisy image, important features such as edges, lines and other fine image details embedded in the image tends to blur because of filtering operation. The enhancement of noisy data, however, is a very critical process because the sharpening operation can significantly increase the noise. In this proposed approach we aim to develop image processing technique that can meet this new requirement, which are high quality and high speed. Furthermore, prevent the noise accretion during the sharpening of the image details, and compare the restored images via proposed method with other kinds of filters.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Keywords: Noise images; Decision tree algorithm; Quality of the image; Image processing
Depositing User: Nabilah Mustapa
Date Deposited: 12 Apr 2018 03:56
Last Modified: 12 Apr 2018 03:56
URI: http://psasir.upm.edu.my/id/eprint/60116
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