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Coding of Light Fields Using Disparity Based Sparse Prediction

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
JournalIEEE Access
Publication statusE-pub ahead of print - 6 Dec 2019
Publication typeA1 Journal article-refereed


In this paper we introduce a new light field codec, dubbed WaSPR (warping and sparse prediction on regions), which has additional features and improved performance when compared to our recently introduced WaSP (warping and sparse prediction) codec. We present in detail the overall scheme, including the initial WaSP structure, and the additional new features of WaSPR, including a region based sparse prediction stage, and the addition of a more efficient way to encode the prediction residuals by including separate inter-view coding of residuals obtained at each hierarchical level. The new scheme is demonstrated to improve over both modes of the JPEG Pleno Verification Model software version 2.1, and is shown to provide competitive results when compared against several recently published light field codecs.


  • Cameras, Encoding, Codecs, Lenses, Transform coding, Image coding, Light field coding, image coding, plenoptic, multi-view

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Field of science, Statistics Finland

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