An Image Degradation Model for Depth-augmented Image Editing

James W. Hennessey, Niloy J. Mitra

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Images remain the most popular medium to capture our surroundings. Although significant advances have been made in developing image editing tools, the key challenge is to intelligently account for missing depth information. The growing popularity of depth images offers a new avenue to revisit image editing tasks. In this work, we investigate how even coarse depth information can be exploited to address some of the fundamental challenges in image editing namely producing correct perspective, handling occlusion, and obtaining segmentation. To this end, we propose a novel image degradation model that predicts how well an image edit can be performed in presence of coarse depth information. Technically, we create proxy geometry to summarize available depth information, and use it to predict occlusions and ordering between image patches, complete occluded regions, and anticipate image-level changes under camera movement. We evaluate the proposed image degradation model in the context of parallax photography from single depth images.

Original languageEnglish (US)
Pages (from-to)191-199
Number of pages9
JournalComputer Graphics Forum
Issue number5
StatePublished - Aug 2015

Bibliographical note

Publisher Copyright:
© 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


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