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

Publication2019

An efficient image denoising method based on principal component analysis with learned patch groups

The record

Type
Publication
Date
1 October 2019
Level
International — held abroad
Journal
Signal Image and Video Processing
Volume
13
Issue
7
Pages
1405-1412
Published
1 October 2019
DOI
10.1007/s11760-019-01489-2
Scopus ID
85065649810
ISSN
18631703
Authors
3
Open access
No
Citations
27
International co-authorship
Yes
Co-author countries
CN, 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

    TargetPrimaryHigh confidenceJudged

    Novel image denoising algorithm using principal component analysis and patch group clustering demonstrates research contribution to signal processing innovation.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    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

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.1 Research and development

    Sub-themePrimaryHigh confidenceJudged

    Research methodology in computational signal processing with novel feature extraction technique.

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

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KIIT Deemed to be University. “An efficient image denoising method based on principal component analysis with learned patch groups”. Kortex.

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