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Probabilistic Decision Based Improved Trimmed Median Filter to Remove High-Density Salt and Pepper Noise

  • MATHEMATICAL THEORY OF IMAGES AND SIGNALS REPRESENTING, PROCESSING, ANALYSIS, RECOGNITION, AND UNDERSTANDING
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Abstract

This paper focuses on the removal of salt and pepper noise from a contaminated image. A Probabilistic Decision Based Improved Trimmed Median Filter (PDITMF) is proposed here. The proposed PDITMF algorithm resolves the conflict regarding an even number of noise free pixel of Trimmed Median Filter. The proposed algorithm makes use of two estimation techniques for de-noising, namely, Improved Trimmed Median Filter (ITMF), and Patch Else Improved Trimmed Median Filter (PEITMF) depending upon noise density. The algorithm experiments with many standard sample images. Simulation results show the proposed algorithm is capable of de-noising the image very efficiently. The algorithm has a better visual representation and it outperforms the existing well-known algorithms in context to peak signal-to-noise ratio (PSNR) as well as image enhancement factor (IEF) with lower execution time (ET) at all noise densities.

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Correspondence to A. P. Sen or N. K. Rout.

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Amit Prakash Sen received his B.Tech degree in Electronics and Telecommunication Engineering from Biju Patnaik University of Technology, Rourkela and M.Tech degree in Electronics and Communication Engineering from West Bengal University of Technology, Kolkata. He has eight years of teaching experience as an Asst. Professor. Presently, he is working as a Research Scholar in School of Electronics Engineering, KIIT University, Bhubaneswar, India. His field of research is image processing, machine learning, and VLSI.

Nirmal Kumar Rout is presently working as a Professor, School of Electronics Engineering, KIIT University, Bhubaneswar, India. He received B.E. degree in Electronics and Telecommunication Engineering from University College of Engineering, Sambalpur University, in 1991, M.Tech degree in Computer Science from Utkal University, in 2001, and PhD degree in Electronics and Telecommunication Engineering from KIIT University, in 2014. He has published a number of research papers in various refereed international journals and conferences. His current research interest includes active noise control, adaptive signal processing, image processing soft computing and evolutionary computing.

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Sen, A.P., Rout, N.K. Probabilistic Decision Based Improved Trimmed Median Filter to Remove High-Density Salt and Pepper Noise. Pattern Recognit. Image Anal. 30, 401–415 (2020). https://doi.org/10.1134/S1054661820030244

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  • DOI: https://doi.org/10.1134/S1054661820030244

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