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Pixel classification algorithms for noise removal and signal preservation in low-pass filtering for contrast enhancement

Title:

Pixel classification algorithms for noise removal and signal preservation in low-pass filtering for contrast enhancement

Wang, Chunyan and Gong, Sha (2014) Pixel classification algorithms for noise removal and signal preservation in low-pass filtering for contrast enhancement. In: 2014 19th International Conference on Digital Signal Processing.

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Official URL: http://dx.doi.org/10.1109/ICDSP.2014.6900712

Abstract

With a view to obtaining a high quality contrast enhancement, low-pass filters are used to remove the noise generated in a high-gain histogram equalization process. To preserve signal variations, the LP operation applied to the pixels in non-homogeneous regions should have less smoothing strength than that in homogeneous regions. The pixel classification according to the gray level homogeneity is thus a critical part in the LP filtering. In this paper, two algorithms for pixel classification according to the gray level homogeneity of their regions are proposed. In each of them, image pixels are grouped in such a way that, in the same group, pixels in homogeneous regions can be easily distinguished from those in non-homogeneous regions by a simple gradient thresholding, despite the complexity of signal gradient degradation in images. The two proposed classification algorithms are very simple, requiring very small quantity of computation. Their effectiveness has been proven by the simulation results.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Authors:Wang, Chunyan and Gong, Sha
Date:2014
Digital Object Identifier (DOI):10.1109/ICDSP.2014.6900712
ID Code:981320
Deposited By: CHUNYAN WANG
Deposited On:08 Jun 2016 19:51
Last Modified:18 Jan 2018 17:52
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