关键词: 散焦图像, 深度恢复, 空间变化窗口, 信息散度, 等焦面假设, 单应矩阵

Abstract:

In order to solve such problems existing in the traditional information divergence algorithm as the inconsistence of object image sizes and the low accuracy of the depth recovery in non-contiguous areas,a new information divergence algorithm is proposed based on space-variant window. In this algorithm,first,the homography matrix between two original defocused images is calculated. Then,by using this homography matrix,the original images are rectified to obtain new defocus images of the same size. Moreover,the depth of non-contiguous area is estimated through the space-variant window structure. The simulated and real-image experimental results show that the proposed algorithm can avoid the smoothing depth in discontinuities and improve the precision.

Key words: defocused image, depth recovery, space-variant window, information divergence, equifocal assumption, homography matrix