The Light Field Camera: Extended Depth of Field, Aliasing, and ...

BISHOP AND FAVARO: THE LIGHT FIELD CAMERA: EXTENDED DEPTH OF FIELD, ALIASING, AND SUPERRESOLUTION 983Fig. 15. Synthetic results. (a) Top: True radiance. (b) Top: True depthmap. (c) Top: Light field image simulated with our model. (a) Bottom: LFimage rearranged as views. (b) Bottom: Central view (as in a traditionalrendering [3]). (c) Bottom: (SR) radiance restored with our method.disparities lie in the range s ¼ 0:34 to 0.31, with themiddle book being around the main lens plane-in-focus(zero disparity). Regularized depth maps from other realdata sets are also shown in Figs. 14 and 1.8.2 Superresolution Results8.2.1 Synthetic DataIn Fig. 15, we simulate LF camera data using (1) and asynthetic depth map, then apply the SR algorithm (usingthe known depth) to recover a high resolution focussedimage. The simulated scene lies in the range 800-1,000 mm,each of the 49 views (i.e., we use only the 7 7 pixelcentral portion of each subimage in this experiment) is a19 29 pixel image. The magnification gain is about seventimes along each axis.8.2.2 LF Camera/SR Performance TestingFirst, we test how the proposed SR method compares tolow-resolution integral refocusing [3] and the method ofLumsdaine and Georgiev [6]. We generate synthetic LF datausing our model and the same settings as Section 8.1.1, withthe “Bark” texture from the Brodatz database positioned ona sequence of 110 planes with depths in the range 486-1,074mm. We omit planes near the main lens plane-in-focuswhere