High angular resolution light field reconstruction with coded-aperture mask

In the past decade, light field imaging has greatly extended the imaging capabilities of traditional photography. However, the applications of light field imaging are limited by the aliasing artifacts due to the plenoptic sampling trade-off between angular and spatial domains. We propose to use a coded aperture light field camera instead of the traditional one, which can get more angular information without losing spatial resolution. To that end, we exploit a theoretical model to explain the relationship between light field and the raw data captured by the sensor. Then, we design a mask to code the rays using compressive sensing. Last, the sparse characteristic of light field in gradient domain and the corresponding optimization methods are utilized to reconstruct the high angular resolution light field. Experimental results on synthetic data and real data demonstrate that our system can obtain high angular resolution light field by producing a low-aliasing refocused image and high PSNR multi-view images.