Publication2024
Image Compression Scheme based on Optimized K-means Clustering and Higher-Level Decomposed DWT
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Procedia Computer Science
- Volume
- 235
- Pages
- 642-655
- Published
- 1 January 2024
- DOI
- 10.1016/j.procs.2024.04.063
- Scopus ID
- 85196427924
- ISSN
- 18770509
- Authors
- 5
- Open access
- Yes
- Citations
- 5
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
K-means clustering and discrete wavelet transform hybrid method achieves compression ratio 15.39 with high image quality preservation.
- 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
vb-3.2 Digital technology and artificial intelligence
Image compression algorithm development supports digital technology and data processing.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Image Compression Scheme based on Optimized K-means Clustering and Higher-Level Decomposed DWT”. Kortex.