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Multi-View Image Enhancement for Attention-Guiding Autostereoscopic Display

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Abstract

We design a detail enhancement method for multi-view images. By using the co-occurrence statistics in spatial domain for an anchor view and in angular domain for the other views, it features saliency dependence, global consistency, and modest execution time. This achieves artifact-free autostereoscopic display capable of guiding viewers’ attention.

© 2020 The Author(s)

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