Automated Removal of Partial Occlusion Blur

DMCA

Automated Removal of Partial Occlusion Blur

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Scott Mccloskey , Michael Langer , Kaleem Siddiqi

Citations:

6 - 4 self

BibTeX

@MISC{Mccloskey_automatedremoval,
    author = {Scott Mccloskey and Michael Langer and Kaleem Siddiqi},
    title = {Automated Removal of Partial Occlusion Blur},
    year = {}
}

OpenURL

Abstract

Abstract. 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. 1

Keyphrases

occluded region partial occlusion blur automated removal complete occlusion foreground object partial occlusion improved visibility important information present experimental result minimal user interaction single image segmentation boundary geometric flow image aesthetic

DMCA