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International Conference on Recent Trends in Image Processing and Pattern Recognition

RTIP2R 2016: Recent Trends in Image Processing and Pattern Recognition pp 243–250Cite as

Performance Analysis of Impulse Noise Attenuation Techniques

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 709))

Abstract

At present, digital image processing is elevated vicinity. Image possession, a broadcast may corrupt an image with impulse noise. Several realistic appliances necessitate a superior, squat complex de-noising practice as a pre-processing maneuver. While impulse noise filtering, the need is to conserve edges and image features. The merely damaged pixel should be filtered, to evade image smoothing. Analyses of few impulse noise cutback procedures are discussed in the study, their outcomes are inspected as well as competences are estimated in MATLAB R2014a. An appraisal affords inclusive acquaintance of noise diminution methods and also assists pollsters in paramount impulse noise reduction technique selection.

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Author information

Authors and Affiliations

  1. P.R. Pote College of Engineering and Management, SGBAU, Amravati, India

    M. S. Sonawane & C. A. Dhawale

  2. Computer Department, Institute of Management Research and Development Shirpur, Shirpur, India

    M. S. Sonawane

Authors
  1. M. S. Sonawane
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  2. C. A. Dhawale
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Corresponding author

Correspondence to M. S. Sonawane .

Editor information

Editors and Affiliations

  1. The University of South Dakota, Vermillion, South Dakota, USA

    K.C. Santosh

  2. Karnatak Arts, Science and Commerce College, Bidar, India

    Mallikarjun Hangarge

  3. Polytecnico di Bari, Bari, Italy

    Vitoantonio Bevilacqua

  4. University of Hyderabad, Hyderabad, India

    Atul Negi

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© 2017 Springer Nature Singapore Pte Ltd.

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Sonawane, M.S., Dhawale, C.A. (2017). Performance Analysis of Impulse Noise Attenuation Techniques. In: Santosh, K., Hangarge, M., Bevilacqua, V., Negi, A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-10-4859-3_22

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  • DOI: https://doi.org/10.1007/978-981-10-4859-3_22

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4858-6

  • Online ISBN: 978-981-10-4859-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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