Development of a new nonlinear filtering algorithm for impulse noise reduction

Ahmad, Mohd Ashraf (2020) Development of a new nonlinear filtering algorithm for impulse noise reduction. , [Research Report: Research Report] (Unpublished)

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The use of digital image-based visual information has gained a lot of attention due to its flexibility and easy to be manipulated. However, digital images that have been used as basic input to an application system are frequently contaminated by noise. One of the most common types of noise found in digital images is impulse noise. Therefore, a new type of filter based on switching scheme are proposed as impulse noise removal. The proposed filter namely Dual Sliding Statistics Switching Median filter (DSSSM) are two-stage filters which consist of noise detection and noise filtering stages. In the DSSSM method, the filtering process begins with noise detection stage; whereby the statistics of a localized detection window of sorted and non-sorted orders are simultaneously processed. Subsequently, the median of absolute difference obtained from the statistics of both windows will be used to classify the existence of the noise pixel. Next in the filtering stage, the pixels that have been classified as noise will be restored while the noise-free pixels will be left unchanged. By using these processing techniques, the proposed filters are not only able to remove the impulse noise, but are also able to maintain the structure and shape of the object in the image. The simulation results also show that the DSSSM filter outperform other existing conventional filters in the literature, in terms of qualitative and quantitative assessments.

Item Type: Research Report
Additional Information: RESEARCH VOTE NO: RDU1703151
Uncontrolled Keywords: Digital images; Dual Sliding Statistics Switching Median filter (DSSSM)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User: En. Mohd Ariffin Abdul Aziz
Date Deposited: 14 Feb 2023 07:57
Last Modified: 14 Feb 2023 07:57
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