Research Journal of Applied Sciences
ISSN: Online 1993-6079ISSN: Print 1815-932x
Abstract
In medical imaging, object enhancement and segmentation, the impulse noise is occurred by affecting the original pixel values. The effective denoising techniques are required for the image processing applications to remove the impulse noise. Researchers have proposed a Pseudo Random algorithm for detection and removal of impulse noises in images. In this research, Edge Preserving methodology is proposed to detect the impulse noise affected pixels in a simplified manner and those detected pixels are removed using cloud algorithm. The extensive experimental results show that the proposed technique preserves the edge pixels and achieves better performances in terms of quantitative evaluation and visual quality. The proposed simulation results prove that the methodology has better performance than the existing methodology for impulse noise detection and removal.
How to cite this article:
P. Thirumurugan and S. Sasi Kumar. Performance Analysis of Impulse Noise Reduction using Pseudo Random Methodology.
DOI: https://doi.org/10.36478/rjasci.2013.501.506
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2013.501.506