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首页> 外文期刊>Research in nondestructive evaluation: a journal of the American Society for Nondestructive Testing >FISTA Algorithm for Radiography Images Enhancement with Background Blurring Removal
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FISTA Algorithm for Radiography Images Enhancement with Background Blurring Removal

机译：射线照相图像增强的母婴算法与背景模糊去除

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摘要

Testing and detecting potential defects in works of art is usually required to cause minimal or no damage; industrial Radiography Testing (RT) is often the method of choice provided the images are of the required high quality and yield high defect detection sensitivity. Various digital image processing methods can be employed to achieve improved image quality and information extraction as required. The level and nature of the noise in the RT images is usually unknown. In addition to the different noises, the image quality is degraded by the blurring effect. In this study, a modified form of the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) with quadratic regularization strategy was developed and applied to remove the blurring. The output of the application of the method to number RT images of five art objects was evaluated by industrial radiography and antiquities experts. It was confirmed that the applied method was efficient and improved image quality and defect detection.
机译：通常需要测试和检测艺术作品的潜在缺陷来造成最小或没有损坏; 工业造影测试（RT）通常是所需的选择方法，提供了所需的高质量并产生高缺陷检测灵敏度。 可以采用各种数字图像处理方法来实现根据需要改进的图像质量和信息提取。 RT图像中噪声的水平和性质通常是未知的。 除了不同的噪声之外，图像质量是通过模糊效果而劣化的。 在该研究中，开发出并施加具有二次正则化策略的快速迭代收缩阈值算法（FISTA）的修改形式，并施加以去除模糊。 通过工业射线照相和古物专家评估了五件艺术对象的数字RT图像的方法的应用的应用。 证实应用方法有效，改善了图像质量和缺陷检测。

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