Lee Joon-Jae, Lee Byung-Gook, Yoo Hoon
Department of Game Mobile Contents, Keimyung University, Daemyung3-Dong Nam-Gu, Daegu 705-701, Korea.
Appl Opt. 2011 May 1;50(13):1889-93. doi: 10.1364/AO.50.001889.
This paper presents an image quality enhancement of computational integral imaging reconstruction (CIIR) method by using a binary weighting mask on occlusion areas in elemental images. The proposed method utilizes a block-matching algorithm to estimate the occlusion areas in elemental images. Then, a binary weighting mask generated from the estimated occlusion area is applied to our CIIR method. This minimizes the overlapping effect of occluding objects in the reconstructed plane images and thus improves visual quality dramatically. To show the usefulness of our proposed scheme, we conduct several experiments and present the results. The experimental results indicate that our method is superior to the existing methods.
本文提出了一种通过对基元图像中的遮挡区域使用二进制加权掩膜来增强计算积分成像重建（CIIR）方法图像质量的方法。该方法利用块匹配算法估计基元图像中的遮挡区域。然后，将根据估计出的遮挡区域生成的二进制加权掩膜应用于我们的CIIR方法。这将重建平面图像中遮挡物体的重叠效应降至最低，从而显著提高视觉质量。为了证明我们提出的方案的有效性，我们进行了几项实验并展示了结果。实验结果表明，我们的方法优于现有方法。
