Joint polarization detection and degradation mechanisms for underwater image enhancement

水下 光学 材料科学 极化(电化学) 接头(建筑物) 降级(电信) 计算机科学 物理 电信 地质学 化学 海洋学 物理化学 建筑工程 工程类
作者
Chin‐Hsiang Cheng,Qiang Fu,Feng Bao,GU XIAN-SONG,Youfei Hao,Yudan Zhu,Jin‐Lin Zhang,Yi Liu,Yao-Jun Tai,Longxiao Wang
出处
期刊:Applied Optics [The Optical Society]
卷期号:62 (24): 6389-6389 被引量:1
标识
DOI:10.1364/ao.496014
摘要

Light absorption and scattering exist in the underwater environment, which can lead to blurring, reduced brightness, and color distortion in underwater images. Polarized images have the advantages of eliminating underwater scattering interference, enhancing contrast, and detecting material information of the object in underwater detection. In this paper, from the perspective of polarization imaging, different concentrations (0.15 g/ml, 0.30 g/ml, and 0.50 g/ml), different wave bands (red, green, and blue), different materials (copper, wood, high-density PVC, aluminum, cloth, foam, cloth sheet, low-density PVC, rubber, and porcelain tile), and different depths (10 cm, 20 cm, 30 cm, and 40 cm) are set up in a chamber for the experimental environment. By combining the degradation mechanism of underwater images and the analysis of polarization detection results, it is proved that the degree of polarization images have greater advantages than degree of linear polarization images, degree of circular polarization images, S1, S2, and S3 images, and visible images underwater. Finally, a fusion algorithm of underwater visible images and polarization images based on compressed sensing is proposed to enhance underwater degraded images. To improve the quality of fused images, we introduce orthogonal matching pursuit (OMP) in the high-frequency part to improve image sparsity and consistency detection in the low-frequency part to improve the image mutation phenomenon. The fusion results show that the peak SNR values of the fusion result maps using OMP in this paper are improved by 32.19% and 22.14% on average over those using backpropagation and subspace pursuit methods. With different materials and concentrations, the underwater image enhancement algorithm proposed in this paper improves information entropy, average gradient, and standard deviation by 7.76%, 18.12%, and 40.8%, respectively, on average over previous algorithms. The image NIQE value shows that the image quality obtained by this paper’s algorithm is improved by about 69.26% over the original S0 image.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
杨老师发布了新的文献求助10
1秒前
yujh完成签到,获得积分10
2秒前
zhouhuyao发布了新的文献求助10
3秒前
赘婿应助轻云触月采纳,获得10
4秒前
BallBall完成签到,获得积分10
5秒前
嘎嘎猛完成签到,获得积分10
5秒前
Leolefroy发布了新的文献求助10
6秒前
7秒前
7秒前
郭豪琪完成签到,获得积分10
7秒前
彭佳丽完成签到,获得积分10
9秒前
如你发布了新的文献求助10
9秒前
9秒前
科研通AI2S应助duosu采纳,获得10
11秒前
11秒前
彭佳丽发布了新的文献求助10
12秒前
铎铎铎完成签到 ,获得积分10
12秒前
13秒前
奋斗刺猬发布了新的文献求助10
13秒前
ohh发布了新的文献求助10
14秒前
14秒前
15秒前
三木完成签到,获得积分10
15秒前
15秒前
16秒前
丘比特应助Lorain采纳,获得10
16秒前
上官若男应助叮咚采纳,获得10
16秒前
mimi发布了新的文献求助10
16秒前
nns发布了新的文献求助10
17秒前
gaoyy126发布了新的文献求助10
18秒前
哈哈哈发布了新的文献求助10
19秒前
冷傲迎梦发布了新的文献求助10
20秒前
TsingFlower关注了科研通微信公众号
23秒前
25秒前
杨老师发布了新的文献求助10
27秒前
28秒前
duosu发布了新的文献求助10
29秒前
gabee完成签到 ,获得积分10
30秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
The Three Stars Each: The Astrolabes and Related Texts 900
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
A radiographic standard of reference for the growing knee 400
Glossary of Geology 400
Additive Manufacturing Design and Applications 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2475802
求助须知:如何正确求助?哪些是违规求助? 2140392
关于积分的说明 5454540
捐赠科研通 1863660
什么是DOI,文献DOI怎么找? 926514
版权声明 562846
科研通“疑难数据库(出版商)”最低求助积分说明 495719