UNDERWATER IMAGE ENHANCEMENT
Abstract & Details
Research Area
IMAGE PROCESSING
Keywords
RGB
adaptive histogram equilization
histogram
median filter.
Abstract
The underwater optical images are commonly captured by camera but with different statistical features to natural images. Due to the refraction and scattering of light in different water types, the colours and shapes of objects can be twisted that are incapable of providing acceptable visual qualities. Thus, it is imperative to develop algorithms to enhance underwater images. Underwater images have mainly characterized by poor visibility and colour degradation, due to the harsh and complex underwater environment. In the past decade, the connected problems have attracted extended attention. This paper presents a comprehensive review of the related techniques and their most up-to-date achievements. above all, we observe a huge trend of applying deep learning in underwater image process in a very tiny volume of knowledge. we have a tendency to hope our review may benefit each the beginners and also the consultants of this area for locating appealing and difficult analysis topics.
License
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | SRIVISHNU I | PAAVAI ENGINEERING COLLEGE |
| 2 | Ragul T | PAAVAI ENGINEERING COLLEGE |
| 3 | Mrs. A. Samundeeswari | PAAVAI ENGINEERING COLLEGE |
How to Cite
Use the following formats to cite this article in your research.
APA Style
I, SRIVISHNU, T, Ragul, & Samundeeswari, Mrs. A. (2023). UNDERWATER IMAGE ENHANCEMENT. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 3785-3790.
MLA Style
I, SRIVISHNU, et al. "UNDERWATER IMAGE ENHANCEMENT." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 3785-3790.
IEEE Style
SRIVISHNU I, Ragul T, and Mrs. A. Samundeeswari, "UNDERWATER IMAGE ENHANCEMENT," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 3785-3790, 2023.
Vancouver Style
I SRIVISHNU, T Ragul, Samundeeswari Mrs. A.. UNDERWATER IMAGE ENHANCEMENT. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):3785-3790.
Harvard Style
I, SRIVISHNU, T, Ragul, & Samundeeswari, Mrs. A. (2023) 'UNDERWATER IMAGE ENHANCEMENT', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 3785-3790.
Chicago Style
I, SRIVISHNU, Ragul T, and Mrs. A. Samundeeswari. "UNDERWATER IMAGE ENHANCEMENT." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3785-3790.
Turabian Style
I, SRIVISHNU, Ragul T, and Mrs. A. Samundeeswari. "UNDERWATER IMAGE ENHANCEMENT." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3785-3790.
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