Synthetic Aperture Imaging Beyond Foreground Using Image Matting
| Autor: | Wen-Min Yan, Bin Liu, Yi-Hua Pan, Yan Han, Yi Zhang |
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| Rok vydání: | 2019 |
| Předmět: |
Pixel
Computer science business.industry Interference (wave propagation) Image (mathematics) Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Synthetic aperture imaging Superimposition Computer vision Reconstructed image Artificial intelligence Electrical and Electronic Engineering business Instrumentation |
| Zdroj: | Sensing and Imaging. 20 |
| ISSN: | 1557-2072 1557-2064 |
| DOI: | 10.1007/s11220-019-0247-x |
| Popis: | Synthetic aperture imaging is widely applied to reconstruct the occluded objects. Unfortunately, due to the superimposition of foreground rays, blurriness occurs in reconstructed images, which leads to an undesirable quality of reconstruction result. Screening effective rays before synthetic aperture imaging become the key to improve the quality of reconstructed image. In this paper, we propose a method to remove interference from occlusion in synthetic aperture imaging by using image matting. By focusing on the occlusion plane, the focusing degree of synthetic aperture imaging result can roughly label occlusions and non-occlusions. These labels can serve as the scribbles of input image of image matting, which can distinguish occlusions and backgrounds more precisely. After that, the focusing at the desired depth is by averaging pixels without occlusions. The experimental results show that our method can effectively remove the blur in the reconstruction results. We demonstrate the superiority of our method by presenting experimental results as well as comparing our method with other’s methods. |
| Databáze: | OpenAIRE |
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