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3D integral imaging (II) has been deemed as a promising technology for a future market in the fields of entertainment and communications. However, the limited depth of field (DOF) hinders the wide application of II technology. In this study, we propose a marginal DOF model and a computation method of optimal viewing resolution, which considers the human visual system (HVS). Firstly, we analyze the causes of distortion based on HVS. Then, we propose the marginal DOF model of undistorted reconstruction in the II system, in which the displacement image points should not exceed the corresponding pixel size of the reconstructed image. Finally, we determine the reconstructed resolution of human vision at the optimal viewing distance based on this proposed DOF model. Compared with the traditional method, the proposed method is more applicable for 3D II technology, as it provides more accurate and realistic computations for DOF and resolutions.

This paper proposes a simplified method to generate elemental images using the image pair of the scene for integral imaging stereo display. Firstly, the generalized superpixel matching algorithm is designed for integral imaging to obtain the depth map. We define the discrete boundary according to the characteristics of the low-texture region. A kind of consistency check method by calculating the inclination degree of the discrete boundary is proposed. The remaining texture regions are handled by assisted growth matching method. The precise depth map is obtained through the above two steps. Secondly, the depth map and color image are used to generate multiple elemental images according to the reverse mapping principle. Therefore the reconstruction quality depends on the accuracy of the depth map. The experiments verify that the depth map has a small error range and prominent details which can improve the accuracy of the reconstructed light field and is suitable for integral imaging.

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