Abstract

To ensure the quality of material, nondestructive testing is necessary, and radiography testing is the nondestructive technique most commonly used today. For inspection, the quality of a radiographic image is critical, and there are many image artifacts that can reduce inspection accuracies such as noise or blurring. The deterioration in spatial resolution caused by blur in both the X-ray imaging itself and the noise reduction process are particular problems. To tackle them, we implemented a non-blind deconvolution method that employs the alternating direction method of multipliers (ADMM) after noise reduction. Experimental results confirm that the proposed algorithm effectively restores edge sharpness. The 50% modulation transfer function of the restored image of a slit-camera was about 3.54 line-pairs per mm, which is about 2.5 times higher than that of the denoised image. Moreover, the edge preservation index values are about 0.82, 0.54, and 0.75 for the restored, denoised, and acquired images, respectively. Consequentially, the proposed method has the potential to increase inspection efficiency in industrial applications.

Highlights

  • Non-blind deconvolution with an alternating direction method of multipliers (ADMM) after noise reduction in nondestructive testing

  • The results show that the proposed method effectively increases the spatial resolution of radiographic images and has the potential to improve testing in an industrial setting

  • The spatial frequency of all of LSFs measured at 50% MTF were about 3.12 lp/mm, 1.44 lp/mm, and 3.54 lp/mm. These results evidence that the proposed algorithm improves the sharpness of the image. They indicate that the blur caused by the noise reduction algorithm and the inherent blur of the X-ray imaging system are corrected by the proposed algorithm

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Summary

Introduction

Non-blind deconvolution with an alternating direction method of multipliers (ADMM) after noise reduction in nondestructive testing. Cheon et al 2019 JINST 14 P11032 View the article online for updates and enhancements. The quality of a radiographic image is critical, and there are many image artifacts that can reduce inspection accuracies such as noise or blurring. The deterioration in spatial resolution caused by blur in both the X-ray imaging itself and the noise reduction process are particular problems. We implemented a non-blind deconvolution method that employs the alternating direction method of multipliers (ADMM) after noise reduction. Experimental results confirm that the proposed algorithm effectively restores edge sharpness. : Inspection with x-rays; Data processing methods; Image filtering c 2019 The Author(s).

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