Recovery of Underwater Visibility and Structure by Polarization Analysis
| Autor: | N. Karpel, Yoav Y. Schechner |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Image formation
Machine vision Computer science Underwater vision business.industry Mechanical Engineering Color correction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Ocean Engineering Optical polarization Polarizer law.invention law Computer vision Artificial intelligence Electrical and Electronic Engineering Underwater business Distance transform Remote sensing |
| Zdroj: | IEEE Journal of Oceanic Engineering. 30:570-587 |
| ISSN: | 0364-9059 |
| DOI: | 10.1109/joe.2005.850871 |
| Popis: | Underwater imaging is important for scientific research and technology as well as for popular activities, yet it is plagued by poor visibility conditions. In this paper, we present a computer vision approach that removes degradation effects in underwater vision. We analyze the physical effects of visibility degradation. It is shown that the main degradation effects can be associated with partial polarization of light. Then, an algorithm is presented, which inverts the image formation process for recovering good visibility in images of scenes. The algorithm is based on a couple of images taken through a polarizer at different orientations. As a by-product, a distance map of the scene is also derived. In addition, this paper analyzes the noise sensitivity of the recovery. We successfully demonstrated our approach in experiments conducted in the sea. Great improvements of scene contrast and color correction were obtained, nearly doubling the underwater visibility range. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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