Abstract
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.
© 2011 Chinese Optics Letters
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