Design of Decision Based Recursive Weighted Median Filter With Exponential Weights

The prescribed algorithm for removing impulse noise effectively even under high noise densities without causing any loss of image details. Hence a cascaded section of median filters that, involves an Decision-based Median Filter followed by a Recursive Weighted Median (RWM) Filter employing exponent...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-11, Vol.2089 (1), p.12016
Main Authors: Ganesh, Motepalli Siva Rama, Kadali, Kalyan Sagar, Bhukya, Ramu, Palleswari, Y.T.R., Siva, Asapu, Pragaspathy, S
Format: Article
Language:English
Subjects:
Decision based Median Filter
Mean Square Error (MSE)
Recursive Weighted Median (RWM)
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Summary:The prescribed algorithm for removing impulse noise effectively even under high noise densities without causing any loss of image details. Hence a cascaded section of median filters that, involves an Decision-based Median Filter followed by a Recursive Weighted Median (RWM) Filter employing exponential weights are used. The median controlled algorithm is employed to calculate the exponential weights. In the algorithms that where proposed in earlier which involves a cascaded section of the median with the RWM filters provided lesser Peak Signal/Noise Ratio (PSNR) and greater Mean Square Error(MSE) values. Hence the output appeared to be distorted for higher noise levels. These drawbacks have been eliminated in this proposed algorithm.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2089/1/012016