Light field superresolution

Tom E. Bishop, Sara Zanetti, Paolo Favaro
2009 2009 IEEE International Conference on Computational Photography (ICCP)  
Figure 1 . From left to right: Light field image captured with a plenoptic camera (detail); the light field image on the left is rearranged as a collection of several views; central view extracted from the light field, with one pixel per microlens, as in a traditional rendering [23]; central view superresolved with our method. Abstract Light field cameras have been recently shown to be very effective in applications such as digital refocusing and 3D reconstruction. In a single snapshot these
more » ... eras provide a sample of the light field of a scene by trading off spatial resolution with angular resolution. Current methods produce images at a resolution that is much lower than that of traditional imaging devices. However, by explicitly modeling the image formation process and incorporating priors such as Lambertianity and texture statistics, these types of images can be reconstructed at a higher resolution. We formulate this method in a variational Bayesian framework and perform the reconstruction of both the surface of the scene and the (superresolved) light field. The method is demonstrated on both synthetic and real images captured with our light-field camera prototype.
doi:10.1109/iccphot.2009.5559010 fatcat:poppc7rhavbl3htqjwlg25hlki