A Survey on Underwater Images Enhancement Techniques

被引：0
|
作者：
Soni, Om Kumari [1 ]
Kumare, Jamvant Singh [1 ]
机构：
[1] Madhav Inst Sci & Technol, Dept CSE IT, Gwalior, Madhya Pradesh, India
来源：
2020 IEEE 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2020) | 2020年
关键词：
Dark Channel Prior; Underwater image enhancement; Adaptive Histogram Equalization (AHE); Contrast Limited AHE (CLAHE);
D O I：
10.1109/CSNT.2020.61
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The primary objective of underwater image enhancement is to recover the quality that has been degraded due to scatters and amalgamation within the underwater environment. These images suffer from strong absorption, low contrast, noise, and poor visibility. Thus to avoid aforementioned problems of the underwater images, enhancement is required. This paper discusses various image enhancement techniques like histogram equalization, Adaptive Histogram Equalization(AHE), CLAIM, histogram slicing, Contrast stretching, Dark Channel Prior, etc.
引用
收藏
页码：333 / 338
页数：6
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