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Multi-hypothesis prediction for disparity compensated light field compression

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3 Author(s)
Prashant Ramanathan ; Inf. Syst. Lab., Stanford Univ., CA, USA ; Flierl, M. ; Girod, B.

In this paper, we describe a multi-hypothesis prediction technique for disparity-compensated light field compression. Multi-hypothesis prediction has been used extensively in video compression. In this work, we apply multi-hypothesis prediction to the problem of light field compression. Most current techniques for light field compression utilize some form of disparity compensation with one hypothesis. We demonstrate that a multi-hypothesis approach, where two hypotheses are used, improves the overall efficiency of a light field coder. Our experimental results show an image quality gain of up to 1 dB in PSNR on our test data sets

Published in:

Image Processing, 2001. Proceedings. 2001 International Conference on  (Volume:2 )

Date of Conference:

7-10 Oct 2001