Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Flux Maximizing Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2004 Papers
Synthetic aperture confocal imaging
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH 2005 Papers
Depth-of-field-based alpha-matte extraction
APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
Seeing Around Occluding Objects
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
String-Like Occluding Region Extraction for Background Restoration
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Removing image artifacts due to dirty camera lenses and thin occluders
ACM SIGGRAPH Asia 2009 papers
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This paper presents a novel, automated method to remove partial occlusion from a single image. In particular, we are concerned with occlusions resulting from objects that fall on or near the lens during exposure. For each such foreground object, we segment the completely occluded region using a geometric flow. We then look outward from the region of complete occlusion at the segmentation boundary to estimate the width of the partially occluded region. Once the area of complete occlusion and width of the partially occluded region are known, the contribution of the foreground object can be removed. We present experimental results which demonstrate the ability of this method to remove partial occlusion with minimal user interaction. The result is an image with improved visibility in partially occluded regions, which may convey important information or simply improve the image's aesthetics.