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Light Field Reconstruction Using Shearlet Transform

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
Pages (from-to)133-147
Number of pages15
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number1
Early online date16 Jan 2017
Publication statusPublished - 2018
Publication typeA1 Journal article-refereed


In this article we develop an image based rendering technique based on light field reconstruction from a limited set of perspective views acquired by cameras. Our approach utilizes sparse representation of epipolar-plane images (EPI) in shearlet transform domain. The shearlet transform has been specifically modified to handle the straight lines characteristic for EPI. The devised iterative regularization algorithm based on adaptive thresholding provides high-quality reconstruction results for relatively big disparities between neighboring views. The generated densely sampled light field of a given 3D scene is thus suitable for all applications which require light field reconstruction. The proposed algorithm compares favorably against state of the art depth image based rendering techniques and shows superior performance specifically in reconstructing scenes containing semi-transparent objects.

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Field of science, Statistics Finland

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