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Colour Image De-noising Analysis Based on Improved Non-local Mean Filter

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ICCCE 2020

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 698))

Abstract

In a non-linear filter, open resources filter is a particular scenario that is used to reduce the Gaussian noise in our paper and it performs well to reduce it. The major advantage of non-local means filter is to preserve the limits and particulars of a unique image. In this paper, combined both open means filter and mutual filter to recommend an enhanced filter for colour picture de-noising. Novel influence significance is computed by addition consistency in sequence into the weight to evaluate the parallel of the patch. At the final stage of this paper deals that the proposed method of NLM and BILF is a suitable method to reduce the Gaussian sound and combination of sound.

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Author information

Authors and Affiliations

  1. Department of ECE, Aditya Engineering College, East Godavari, Surampalem, AP, India

    Kanuri Alekya, Konala Vijayalakshmi & Nainavarapu Radha

  2. Accendere Knowledge Management Services Pvt. Ltd, New Delhi, India

    Durgesh Nandan

Authors
  1. Kanuri Alekya
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  2. Konala Vijayalakshmi
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  3. Nainavarapu Radha
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  4. Durgesh Nandan
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Corresponding author

Correspondence to Durgesh Nandan .

Editor information

Editors and Affiliations

  1. BioAxis DNA Research Centre (P) Ltd., Hyderabad, India

    Amit Kumar

  2. Dynexsys, Sydney, NSW, Australia

    Stefan Mozar

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Alekya, K., Vijayalakshmi, K., Radha, N., Nandan, D. (2021). Colour Image De-noising Analysis Based on Improved Non-local Mean Filter. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_108

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  • DOI: https://doi.org/10.1007/978-981-15-7961-5_108

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7960-8

  • Online ISBN: 978-981-15-7961-5

  • eBook Packages: EngineeringEngineering (R0)

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