Leica Microsystems Cms Gmbh

Shih-Jong James Lee

Chi-Chou Huang

Hideki Sasaki

A system for training a machine-learning algorithm for denoising images is configured to receive training data. The training data includes multiple image sets obtained from one or more series of consecutive images. Each image set includes a plurality of images obtained from a same series of consecutive images. The plurality of images of each image set includes an initial image, a middle image and a last image. The system is further configured to adjust weights of the machine-learning algorithm to obtain a trained machine-learning model, based on an output image of the machine-learning algorithm and a target image. The output image is obtained by using the initial image and the last image as input images. The target image is obtained from the middle image by applying a random shift to the middle image. The system is further configured to provide the trained machine-learning model.

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Wetzlar, Germany

Shih-Jong James Lee