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An algorithm for impulse noise with high density preserving edge information and special objects
Author(s): 
Pages: 45-47,52
Year: Issue:  4
Journal: Journal of Northwest Normal University(Natural Science)

Keyword:  impulse noisefilteringRMSEEPI;
Abstract: Aiming at many problems such as edge information being badly lost and special object being over-processed for impulse noise , a denoising algorithm to maintain edge and object is proposed in this paper . Firstly , both every contaminated pixel and the contamination circumstance in its neighborhood can be obtained by the characteristic of impulse noise . Secondly , by means of details judgment and window optimization , some filtering methods are used to reduce the noise density and obtain genuine grey information . Finally , the special object detection and the double-window edge judgment are added to get the denoised image . Experiment show that the proposed method can obtain satisfactory result with a smaller RMSE (root of mean square error ) and a bigger EPI (edge preserved index ) ,furthermore , more information can be preserved for special object in the image with impulse noise .
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