Passive Depth from Defocus Using a Spatial Domain Approach

This paper presents an algorithm for a dense computation of the diierence in blur between two images. The two images are acquired by varying the intrinsic parameters of the camera. The image formation system is assumed to be passive. Estimation of depth from the blur diierence is straightforward. The algorithm is based on a local image decomposition technique using the Hermite polynomial basis. We show that any coef-cient of the Hermite polynomial computed using the more blurred image is a function of the partial derivatives of the other image and the blur diierence. Hence, the blur diierence can be computed by resolving a system of equations. All computations required are local and carried out in the spatial domain. An algorithm is presented for estimation of the blur in 1D and 2D cases and its behavior is studied for constant images, step edges, line edges and junctions. The algorithm is tested using synthetic and real images. The results obtained are very encouraging.