Conclusions

Abstract

In computer vision, an important and challenging topic of research is to recover the depth information of a scene from its images captured with a real aperture camera system. In this book, we have investigated the problem of recovering the depth of a scene from defocused images of the scene. In the scheme of depth from defocus (DFD), depths at various points in a scene are computed by modeling the effect that the focal parameters of the camera have on images acquired with a small depth of field. Given two (or more) images of a scene recorded with different camera parameter settings, the relative blur between the defocused images is measured to obtain an estimate of the depth of the scene. Neither of the images needs to be focused. In its generality, recovering the depth from defocused images is equivalent to the space-variant blur identification problem. Some of the important advantages of the DFD method are as follows.