Author Affiliations
Abstract
1 Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
2 Key Laboratory of Precision Opto-Mechatronics Technology, Ministration of Education, Beihang University, Beijing 100191, China
3 Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100190, China
Synthetic aperture integral imaging provides the ability to reconstruct partially occluded objects from multi-view images. However, the reconstructed images suffer from degraded contrast due to the superimposition of foreground defocus blur. We propose an algorithm to remove foreground occlusions before reconstructing backgrounds. Occlusions are identified by estimating the color variance on elemental images and then deleting it in the final synthetic image. We demonstrate the superiority of our method by presenting experimental results as well as comparing our method with other approaches.
合成孔径 集成成像 遮挡物去除 100.0100 Image processing 100.3010 Image reconstruction techniques 100.4999 Pattern recognition, target tracking Chinese Optics Letters
2011, 9(4): 041002