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An Experimental Analysis on Removal of Salt and Pepper Noise from Digital Images

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Smart Trends in Information Technology and Computer Communications (SmartCom 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 628))

Abstract

Images are normally degraded with noise. The main goal of the denoising technique is to eliminate the noise with minimum distortion. In this paper, work has been done to remove the salt & pepper noise from some of the standard images. The image denoising has been performed with median filter (MF), adaptive median filter (AMF), decision based unsymmetrical trimmed median filter (DBUTMF), modified decision based unsymmetric trimmed median filter (MDBUTMF) and decision based unsymmetric trimmed midpoint filter (DBUTMPF). The performance of each technique has been evaluated on the basis of four parameters namely, signal to noise ratio (SNR), Structure similarity index measure (SSIM), edge preservation index (EPI) and multiscale structure similarity index measure (MSSSIM).

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Authors and Affiliations

  1. Computer Engineering Department, Punjabi University, Patiala, India

    Nirvair Neeru & Lakhwinder Kaur

Authors
  1. Nirvair Neeru
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  2. Lakhwinder Kaur
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Corresponding author

Correspondence to Nirvair Neeru .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Aynur Unal

  2. IT Buzz Limited, Dagenham, UK

    Malaya Nayak

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  5. Sabar Institute of Technology, Sabarkantha, India

    Amit Joshi

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© 2016 Springer Nature Singapore Pte Ltd.

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Neeru, N., Kaur, L. (2016). An Experimental Analysis on Removal of Salt and Pepper Noise from Digital Images. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_52

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  • DOI: https://doi.org/10.1007/978-981-10-3433-6_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3432-9

  • Online ISBN: 978-981-10-3433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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