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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2023

Comparison of algorithms for the removal of impulsive noise from an image

The record

Type
Publication
Date
1 March 2023
Level
National
Journal
E Prime Advances in Electrical Engineering Electronics and Energy
Volume
3
Published
1 March 2023
DOI
10.1016/j.prime.2023.100110
Scopus ID
85149757937
ISSN
27726711
Authors
4
Open access
Yes
Citations
13
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryModerate confidenceJudged

    Comparative analysis of image de-noising algorithms advances research capacity in signal processing and computer vision technologies.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryModerate confidenceJudged

    Review of digital image processing and deep learning methods contributes to digital technology and AI research advancement.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Comparison of algorithms for the removal of impulsive noise from an image”. Kortex.

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Comparison of algorithms for the removal of impulsive noise from an image · Kortex