Paper
3 September 2008 Enhanced 3D correlator using Blur metric-based resolution enhancement
Kang-Jae Eun, Keong-Jin Lee, Dong-Choon Hwang, Eun-Soo Kim
Author Affiliations +
Abstract
In this paper, we proposed enhanced 3-dimentional correlator for extracting accurate location data using computationally reconstructed integral imaging. Elemental images of reference objects and target objects are computationally picked up by virtual pinhole model. These picked elemental images up, target images, reference images are reconstructed by mean of a modified computational integral imaging reconstruction technique. To find original location of target objects, Blur Metric are used to measure Plane object images(POIs) without advance information of target objects. Defocused areas in focused POIs can be efficiently reduced by erosion operation based on a blur metric. This method efficiently find out more accurate longitudinal location of 3D target images through correlation with reconstructed reference images and target plane images. With the propose of showing the feasibility of the proposed method, comparison a case of to use of Blur Metric with a case of to non-use of Blue Metric is implemented and the result are presented.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kang-Jae Eun, Keong-Jin Lee, Dong-Choon Hwang, and Eun-Soo Kim "Enhanced 3D correlator using Blur metric-based resolution enhancement", Proc. SPIE 7072, Optics and Photonics for Information Processing II, 70720Y (3 September 2008); https://doi.org/10.1117/12.795770
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KEYWORDS
3D acquisition

3D image processing

Optical correlators

Integral imaging

3D image enhancement

3D image reconstruction

Image resolution

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