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Imaging / Inpainting / Vision / Texture synthesis / Image gradient / Orientation / Spatial anti-aliasing / Image processing / Computer vision / Computer graphics


Learning How to Inpaint from Global Image Statistics Anat Levin Assaf Zomet Yair Weiss School of Computer Science and Engineering, The Hebrew University of Jerusalem,
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Document Date: 2003-07-22 18:10:11


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City

Jerusalem / /

Company

SIAM Journal / Neural Information Processing Systems / MIT Press / /

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Facility

The Hebrew University of Jerusalem / /

IndustryTerm

max-product belief propagation algorithm / vision applications / then search / message passing algorithm / optimization algorithm / local algorithms / image processing / texture synthesis algorithms / local inpainting algorithms / classical algorithms / max-product algorithm / /

Organization

MIT / Global Image Statistics Anat Levin Assaf Zomet Yair Weiss School of Computer Science and Engineering / Hebrew University of Jerusalem / /

Person

Joan Verdera / V. Della Pietra / G. Sapiro / V / S. Della Pietra / V / M. Bertalmio / V / Pablo Picasso / Adv / J. Lafferty / /

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Position

model for their generation / /

PublishedMedium

IEEE Transactions on Information Theory / Computer Graphics / /

Technology

max-product belief propagation algorithm / thus local inpainting algorithms / max-product algorithm / art local algorithms / local algorithms / clustering algorithm / message passing algorithm / texture synthesis algorithms / image processing / local inpainting algorithms / optimization algorithm / local algorithm / using a clustering algorithm / /

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