Abstract
X-ray inspection plays a pivotal role in the food and non-destructive testing industries, ensuring optimal products quality and safety. To improve contaminants and defects detection, it is crucial to reduce the amount of noise in the acquired images. Addressing this, Hamamatsu Photonics has developed a new de-noising technology based on deep learning algorithms and an innovative X-ray simulation method.
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