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在复眼图像采集系统上重建高分辨率图像。

Reconstruction of a high-resolution image on a compound-eye image-capturing system.

作者信息

Kitamura Yoshiro, Shogenji Rui, Yamada Kenji, Miyatake Shigehiro, Miyamoto Masaru, Morimoto Takashi, Masaki Yasuo, Kondou Noriyuki, Miyazaki Daisuke, Tanida Jun, Ichioka Yoshiki

机构信息

Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita 565-0871, Japan.

出版信息

Appl Opt. 2004 Mar 10;43(8):1719-27. doi: 10.1364/ao.43.001719.

DOI:10.1364/ao.43.001719
PMID:15046176
Abstract

The authors have proposed an architecture for a compact image-capturing system called TOMBO (thin observation module by bound optics), which uses compound-eye imaging for a compact hardware configuration [Appl. Opt. 40, 1806 (2001)]. The captured compound image is decomposed into a set of unit images, then the pixels in the unit images are processed with digital processing to retrieve the target image. A new method for high-resolution image reconstruction, called a pixel rearrange method, is proposed. The relation between the target object and the captured signals is estimated and utilized to rearrange the original pixel information. Experimental results show the effectiveness of the proposed method. In the experimental TOMBO system, the resolution obtained is four times higher than that of the unit image that did not undergo reconstruction processing.

摘要

作者提出了一种名为TOMBO(边界光学薄观察模块)的紧凑型图像采集系统架构,该系统利用复眼成像实现紧凑的硬件配置[《应用光学》40, 1806 (2001)]。采集到的复合图像被分解为一组单元图像,然后对单元图像中的像素进行数字处理以检索目标图像。提出了一种名为像素重排方法的高分辨率图像重建新方法。估计并利用目标物体与采集信号之间的关系来重新排列原始像素信息。实验结果表明了该方法的有效性。在实验性的TOMBO系统中,获得的分辨率比未经过重建处理的单元图像高四倍。

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