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Cited by 805

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Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency

Irani, Michal, Peleg, Shmuel·1993·Journal of Visual Communication and Image Representation

Abstract

Abstract Accurate computation of image motion enables the enhancement of image sequences. In scenes having multiple moving objects the motion computation is performed together with object segmentation by using a unique temporal integration approach. After the motion for the different image regions is computed, these regions can be enhanced by fusing several successive frames covering the same region. Enhancements treated here include improvement of image resolution, filling-in occluded regions, and reconstruction of transparent objects.

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Metadata

Authors
Irani, M., & Peleg, S.
Venue
Journal of Visual Communication and Image Representation
Publisher
Elsevier BV
Published
1993-12
Volume
4
Issue
4
Pages
324-335
ISSN
1047-3203 (ISSN-L)
OpenAlex
W2016598597
Cited by
805
References
0
FWCI
2.38
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency. https://app.cochat.ai/papers/10.1006/jvci.1993.1030
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Irani, M., & Peleg, S. (1993). Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency. Journal of Visual Communication and Image Representation. https://doi.org/10.1006/jvci.1993.1030

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.