Coding of Light Fields Using Disparity Based Sparse Prediction
Research output: Contribution to journal › Article › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Journal | IEEE Access |
| DOIs | |
| Publication status | E-pub ahead of print - 6 Dec 2019 |
| Publication type | A1 Journal article-refereed |
Abstract
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.
Keywords
- Cameras, Encoding, Codecs, Lenses, Transform coding, Image coding, Light field coding, image coding, plenoptic, multi-view
Publication forum classification
Field of science, Statistics Finland
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