Publication2018
Efficient hybrid image denoising scheme based on SVM classification
The record
- Type
- Publication
- Date
- 1 March 2018
- Level
- National
- Journal
- Optik
- Volume
- 157
- Pages
- 503-511
- Published
- 1 March 2018
- DOI
- 10.1016/j.ijleo.2017.11.116
- Scopus ID
- 85034628248
- ISSN
- 00304026
- Authors
- 4
- Open access
- No
- Citations
- 42
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Hybrid image denoising using support vector machine classification with texture preservation advances computer vision and signal processing research capacity.
- 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
Viksit Bharat @2047
vb-3.1 Research and development
Image processing algorithm research contributes to computer science and technology innovation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Efficient hybrid image denoising scheme based on SVM classification”. Kortex.