CSUID – Comprehensive synthetic underwater image dataset
Data in Brief, ISSN: 2352-3409, Vol: 55, Page: 110723
2024
- 1Citations
- 1Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Dataset Description
The underwater environment is characterized by complex light traversal, encompassing effects such as color loss, contrast loss, water distortion, backscatter, light attenuation, and color cast, which vary depending on water purity, depth, and other factors. The dataset presented in this paper is prepared with 100 ground-truth images and 1,50,000 synthetic underwater images. This dataset approximates the effects of underwater environment with implementable combinations of color cast, blurring, low-light, and contrast reduction. These effects and their combinations, with different severity levels are applied to each ground-truth image to generate as many as 150 synthetic underwater images. In addition to the dataset of 1,50,100 images, a comprehensive set of 21 focus metrics, including the average contrast measure operator, Brenner's gradient-based metric, and many others, are calculated for each image.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2352340924006905; http://dx.doi.org/10.1016/j.dib.2024.110723; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85199378638&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/39156666; https://linkinghub.elsevier.com/retrieve/pii/S2352340924006905
Elsevier BV
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