A Comparative Study of Image Compression Algorithms
Article Properties
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DOI (url)
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Publication Date2012/09/05
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Indian UGC (journal)
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Citations6
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Kiran Bindu
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Anita Ganpati
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Aman Kumar Sharma
Cite
Bindu, Kiran, et al. “A Comparative Study of Image Compression Algorithms”. International Journal of Research in Computer Science, vol. 2, no. 5, 2012, pp. 37-42, https://doi.org/10.7815/ijorcs.25.2012.046.
Bindu, K., Ganpati, A., & Sharma, A. K. (2012). A Comparative Study of Image Compression Algorithms. International Journal of Research in Computer Science, 2(5), 37-42. https://doi.org/10.7815/ijorcs.25.2012.046
Bindu K, Ganpati A, Sharma AK. A Comparative Study of Image Compression Algorithms. International Journal of Research in Computer Science. 2012;2(5):37-42.
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities | Sensors |
| 16 | 2021 |
| No-reference quality assessment for image-based assessment of economically important tropical woods | PLOS ONE |
| 2 | 2020 |
| A lightweight and efficient digital image encryption using hybrid chaotic systems for wireless network applications | Journal of Information Security and Applications |
| 4 | 2019 |
| Modified-BRISQUE as no reference image quality assessment for structural MR images | Magnetic Resonance Imaging |
| 37 | 2017 |
Comparative Performance Evaluation of Three Image Compression Algorithms | Journal of Applied Science & Process Engineering |
| 2017 |
Citations Analysis
The category
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Correlation between subjective and objective assessment of magnetic resonance (MR) images and was published in 2016. The most recent citation comes from a 2021 study titled The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities. This article reached its peak citation in 2017, with 2 citations. It has been cited in 5 different journals, 60% of which are open access. Among related journals, the Magnetic Resonance Imaging cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.