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

Publication2020

Improved probabilistic decision-based trimmed median filter for detection and removal of high-density impulsive noise

The record

Type
Publication
Date
24 December 2020
Level
National
Journal
Iet Image Processing
Volume
14
Issue
17
Pages
4486-4498
Published
24 December 2020
DOI
10.1049/iet-ipr.2019.1240
Scopus ID
85103356252
ISSN
17519659
Authors
2
Open access
No
Citations
10
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

    Probabilistic decision-based adaptive trimmed median filter detects and removes high-density impulsive noise from images with improved PSNR and enhancement factor

    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-3.1 Research and development

    Sub-themePrimaryModerate confidenceJudged

    Image processing research and noise reduction algorithm development for signal quality improvement

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

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KIIT Deemed to be University. “Improved probabilistic decision-based trimmed median filter for detection and removal of high-density impulsive noise”. Kortex.

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