Image Enhancement for Underwater Applications

被引：1
|
作者：
Stephan, Thomas [1 ]
Heizmann, Michael [2 ]
机构：
[1] KIT, Inst Anthropomat, D-76131 Karlsruhe, Germany
[2] Fraunhofer Inst Optron Syst Tech & Bildauswertung, D-76131 Karlsruhe, Germany
来源：
TM-TECHNISCHES MESSEN | 2013年 / 80卷 / 10期
关键词：
Image restauration; image models; parameter estimation;
D O I：
10.1515/teme.2013.0038
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
In natural water bodies, images taken under water are mostly characterized by poor visibility conditions. To evaluate the content of such images visually, an image restoration is essential. In this contribution, a concept for the automated restoration of images taken under water is presented. The concept is based on a distance estimation using turbidity indicators, a subsequent color restoration, a model-based deconvolution approach and a concluding image fusion. The restoration is fully based on physical foundations and thus complies with the requirement of an objective enhancement of the image content.
引用
收藏
页码：312 / 319
页数：8
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