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Performance Improvement of Decision Median Filter for Suppression of Salt and Pepper Noise

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Advances in Signal Processing and Intelligent Recognition Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 264))

Abstract

Integration of decision based schemes with median filtering has been applied previously in numerous works to identify and process only the corrupted pixels during image denoising. However, these approaches are performance limited owing to their dependency upon selection of pre-defined thresholds as a decision measure. This paper presents a novel algorithm for performance improvement of decision median filter for suppression of salt and pepper noise in digital images. The proposed algorithm performs decision (to adaptively increase the window size) by comparing the computed median with the minimum and maximum pixel values within a local window. Thereafter, the pixels are processed with the proposed algorithm; reaching a maximum window size limit of 9x9. Objective analysis of the obtained results is carried out using Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM) as quality parameters. As depicted from the simulations results the proposed algorithm is capable to suppress noise effectively even with the noise contamination levels as high as 90%.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, 227105, U.P., India

    Vikrant Bhateja, Aviral Verma, Kartikeya Rastogi & Chirag Malhotra

  2. ANITS, Vizag, A.P., India

    S. C. Satapathy

Authors
  1. Vikrant Bhateja
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  2. Aviral Verma
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  3. Kartikeya Rastogi
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  4. Chirag Malhotra
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  5. S. C. Satapathy
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Correspondence to Vikrant Bhateja .

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Editors and Affiliations

  1. Technopark Campus, Indian Institute of Information Technology and Management – Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico

    Alexander Gelbukh

  3. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India

    Jayanta Mukhopadhyay

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Bhateja, V., Verma, A., Rastogi, K., Malhotra, C., Satapathy, S.C. (2014). Performance Improvement of Decision Median Filter for Suppression of Salt and Pepper Noise. In: Thampi, S., Gelbukh, A., Mukhopadhyay, J. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-04960-1_26

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