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Proceedings ArticleDOI

Motion-blurred image restoration using modified inverse all-pole filters

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TLDR
In this article, a modified inverse filter with preserved all-pole structure and optimized noise and stability properties is proposed to restore images blurred by vibration by using measured motion function. But, it is not suitable for the use of a pure inverse filter, since it provides excessive noise amplification and is possibly unstable.
Abstract
The restoration of vibration-blurred images using measured motion function is considered. Since the blurring filter is of finite impulse response type, the inverse one is of all-pole infinite impulse response type. Direct application of the inverse filter to restore images blurred by vibration is attractive because of minimal computation requirements. However, a pure inverse filter provides excessive noise amplification and is possibly unstable. The proposed technique is to construct a modified inverse filter with preserved all-pole structure and optimized noise and stability properties. An experiment testing the proposed technique was set up and the results presented here.

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Citations
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Real-time image stabilization for arbitrary motion blurred image based on opto-electronic hybrid joint transform correlator.

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A Blur Equalization Method for Screen-to-Camera Based Optical Camera Communications

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Simulation approach for high-speed relative motion blurred image

TL;DR: In this paper, a degradation model for high-speed relative motion blur was proposed and the degradation of special circular symmetric images, and factors that affect radiate degeneration, including relative motion velocity, distance between target and camera, and frame frequency were analyzed.
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Evaluation of the different configurations of infrared-type gimbaled cameras in the sense of blur

TL;DR: In this study, the blur problem of an IR-type gimbaled camera operating on a guided munition is dealt with and the net field of view of the camera is determined for its different configurations and the roll rate limit causing no blur is obtained.
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Image Restoration Algorithm Research on Local Motion-blur

TL;DR: The new restoration algorithm aimed at local motion-blur in a complex background is proposed, which is simple, fast and effectual and an effective method of blur image restoration.
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