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Blind image deblurring for a close scene under a 6-DOF motion path

Zhe Wang (School of Automation and Electrical Engineering, University of Science and Technology Beijing, Haidian-Qu, China)
Xisheng Li (University of Science and Technology Beijing, Beijing, China)
Xiaojuan Zhang (School of Automation and Electrical Engineering, University of Science and Technology Beijing, Haidian-Qu, China)
Yanru Bai (School of Automation and Electrical Engineering, University of Science and Technology Beijing, Haidian-Qu, China and University of Science and Technology Beijing School of Advanced Engineering, Haidian-qu, Beijing, China)
Chengcai Zheng (School of Automation and Electrical Engineering, University of Science and Technology Beijing, Haidian-Qu, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 6 May 2021

Issue publication date: 17 May 2021

81

Abstract

Purpose

How to model blind image deblurring that arises when a camera undergoes ego-motion while observing a static and close scene. In particular, this paper aims to detail how the blurry image can be restored under a sequence of the linear model of the point spread function (PSF) that are derived from the 6-degree of freedom (DOF) camera’s accurate path during the long exposure time.

Design/methodology/approach

There are two existing techniques, namely, an estimation of the PSF and a blind image deconvolution. Based on online and short-period inertial measurement unit (IMU) self-calibration, this motion path has discretized a sequence of the uniform speed of 3-DOF rectilinear motion, which unites with a 3-DOF rotational motion to form a discrete 6-DOF camera’s path. These PSFs are evaluated through the discrete path, then combine with a blurry image to restoration through deconvolution.

Findings

This paper describes to build a hardware attachment, which is composed of a consumer camera, an inexpensive IMU and a 3-DOF motion mechanism to the best of the knowledge, together with experimental results demonstrating its overall effectiveness.

Originality/value

First, the paper proposes that a high-precision 6-DOF motion platform periodically adjusts the speed of a three-axis rotational motion and a three-axis rectilinear motion in a short time to compensate the bias of the gyroscope and the accelerometer. Second, this paper establishes a model of 6-DOF motion and emphasizes on rotational motion, translational motion and scene depth motion. Third, this paper addresses a novel model of the discrete path that the motion during long exposure time is discretized at a uniform speed, then to estimate a sequence of PSFs.

Keywords

Acknowledgements

National Natural Science Foundation of China. 61273082, 61602041.

Citation

Wang, Z., Li, X., Zhang, X., Bai, Y. and Zheng, C. (2021), "Blind image deblurring for a close scene under a 6-DOF motion path", Sensor Review, Vol. 41 No. 2, pp. 216-226. https://doi.org/10.1108/SR-06-2020-0143

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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