Optimal depth estimation from a single image by computational imaging using chromatic aberrations
We present a computational imaging approach to estimate the depth from a single image using axial chromatic aberrations. It includes a co-design of optics and digital processing to select the optimal parameters of a lens such as focal length, f-number, and chromatic focal shift according to the performance of a depth estimation algorithm on the digital side. A simulation framework evaluates the complete systems performance in different imaging conditions including optimal axial chromatic lens...[Show more]
|Collections||ANU Research Publications|
|Source:||Technisches Messen - TM|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.