Huang Chun-Yan
College of Mathematics and Information Science, North China University of Water Resource and Electric Power, Zhengzhou, 450011, Henan, China
ABSTRACT
Image de-noising by using the filter algorithm is a basic problem which we would meet during the image processing. But the traditional filters cant achieve good effects. So a new adaptive weighted filter which could deal with the mixed noise was proposed and the weight values can be adaptively adjusted according to the differences between the reference value and the objective value of all elements in the window based on the MTM (Modified Trimmed Mean) and grey relational analysis. It is shown that the new filter algorithm can preserve image detail information well and effectively remove the noise. Finally, Extensive simulations are carried out to evaluate the performance of the filter. Simulation experiments show that the new method exhibits better performance than other de-noising schemes obviously, both in the PSNR value, MSE value and the visual appearance.
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How to cite this article
Huang Chun-Yan, 2013. An Adaptive Weighted Filter Algorithm for Mixed Noise Image. Information Technology Journal, 12: 5741-5745.
DOI: 10.3923/itj.2013.5741.5745
URL: https://scialert.net/abstract/?doi=itj.2013.5741.5745
DOI: 10.3923/itj.2013.5741.5745
URL: https://scialert.net/abstract/?doi=itj.2013.5741.5745
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