Kwon Ki-Chul, Jeong Ji-Seong, Erdenebat Munkh-Uchral, Piao Yan-Ling, Yoo Kwan-Hee, Kim Nam
School of Information and Communication Engineering, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju, Chungbuk 362-763, South Korea.
Department of Digital Informatics and Convergence, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju, Chungbuk 362-763, South Korea.
Biomed Opt Express. 2015 Feb 9;6(3):736-46. doi: 10.1364/BOE.6.000736. eCollection 2015 Mar 1.
Due to the limitations of micro lens arrays and camera sensors, images on display devices through the integral imaging microscope systems have been suffering for a low-resolution. In this paper, a resolution-enhanced orthographic-view image display method for integral imaging microscopy is proposed and demonstrated. Iterative intermediate-view reconstructions are performed based on bilinear interpolation using neighborhood elemental image information, and a graphics processing unit parallel processing algorithm is applied for fast image processing. The proposed method is verified experimentally and the effective results are presented in this paper.
由于微透镜阵列和相机传感器的局限性，通过积分成像显微镜系统在显示设备上的图像一直存在分辨率低的问题。本文提出并展示了一种用于积分成像显微镜的分辨率增强正视图图像显示方法。基于双线性插值利用邻域元素图像信息进行迭代中间视图重建，并应用图形处理单元并行处理算法进行快速图像处理。本文通过实验验证了所提出的方法并给出了有效结果。
