IEEE Trans Image Process - Compressive light field sensing.

Tópicos

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Resumo

We propose a novel design for light field image acquisition based on compressive sensing principles. By placing a randomly coded mask at the aperture of a camera, incoherent measurements of the light passing through different parts of the lens are encoded in the captured images. Each captured image is a random linear combination of different angular views of a scene. The encoded images are then used to recover the original light field image via a novel Bayesian reconstruction algorithm. Using the principles of compressive sensing, we show that light field images with a large number of angular views can be recovered from only a few acquisitions. Moreover, the proposed acquisition and recovery method provides light field images with high spatial resolution and signal-to-noise-ratio, and therefore is not affected by limitations common to existing light field camera designs. We present a prototype camera design based on the proposed framework by modifying a regular digital camera. Finally, we demonstrate the effectiveness of the proposed system using experimental results with both synthetic and real images.

Resumo Limpo

propos novel design light field imag acquisit base compress sens principl place random code mask apertur camera incoher measur light pass differ part len encod captur imag captur imag random linear combin differ angular view scene encod imag use recov origin light field imag via novel bayesian reconstruct algorithm use principl compress sens show light field imag larg number angular view can recov acquisit moreov propos acquisit recoveri method provid light field imag high spatial resolut signaltonoiseratio therefor affect limit common exist light field camera design present prototyp camera design base propos framework modifi regular digit camera final demonstr effect propos system use experiment result synthet real imag

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