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微透镜阵列误差引起的光场相机图像校正。

Rectification of Images Distorted by Microlens Array Errors in Plenoptic Cameras.

机构信息

School of Energy Science and Engineering, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China.

Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China.

出版信息

Sensors (Basel). 2018 Jun 23;18(7):2019. doi: 10.3390/s18072019.

DOI:10.3390/s18072019
PMID:29937502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6068943/
Abstract

A plenoptic cameras is a sensor that records the 4D light-field distribution of target scenes. The surface errors of a microlens array (MLA) can cause the degradation and distortion of the raw image captured by a plenoptic camera, resulting in the confusion or loss of light-field information. To address this issue, we propose a method for the local rectification of distorted images using white light-field images. The method consists of microlens center calibration, geometric rectification, and grayscale rectification. The scope of its application to different sized errors and the rectification accuracy of three basic surface errors, including the overall accuracy and the local accuracy, are analyzed through simulation of imaging experiments. The rectified images have a significant improvement in quality, demonstrating the provision of precise light-field data for reconstruction of real objects.

摘要

微透镜阵列(MLA)的表面误差会导致微透镜相机捕获的原始图像质量下降和失真,从而导致光场信息的混淆或丢失。为了解决这个问题,我们提出了一种使用白光场图像对失真图像进行局部校正的方法。该方法包括微透镜中心校准、几何校正和灰度校正。通过成像实验模拟,分析了该方法在不同大小误差下的应用范围和三种基本表面误差(包括整体精度和局部精度)的校正精度。校正后的图像质量有了显著提高,为真实物体的重建提供了精确的光场数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255f/6068943/dfe348558c6d/sensors-18-02019-g015.jpg
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