Deep Learning Model for Noise Reduction in Low SNR Imaging Conditions
AssigneeNanotronics Imaging, Inc.
InventorsDenis Sharoukhov, Tonislav Ivanov, Jonathan Lee
Life of this patent
Estimating the term…
Abstract
Embodiments disclosed herein are generally related to a system for noise reduction in low signal to noise ratio imaging conditions. A computing system obtains a set of images of a specimen. The set of images includes at least two images of the specimen. The computing system inputs the set of images of the specimen into a trained denoising model. The trained denoising model is configured to output a single denoised image of the specimen. The computing system receives, as output from the trained denoising model, a single denoised image of the specimen.
Claims20
A system, comprising:
- an imaging apparatus configured to capture images of a specimen on a background;
- and
- a computing system in communication with the imaging apparatus, the computing system comprising one or more processors and a memory, the memory having programming coded thereon, which, when executed by the one or more processors, causes the computing system to perform operations comprising:
- obtaining, by the computing system, a set of images of the specimen from the imaging apparatus, wherein the set of images includes at least two images of the specimen against the background;
- denoising, by the computing system, the set of images by inputting the set of images of the specimen into a denoising model, the denoising model configured to output a single denoised image of the specimen;
- and
- generating, as output from the denoising model, the single denoised image of the specimen.
A method comprising:
- obtaining, by a computing system, a set of images of a specimen from an imaging apparatus, wherein the set of images includes at least two images of the specimen against a background;
- denoising, by the computing system, the set of images by inputting the set of images of the specimen into a denoising model, the denoising model configured to output a single denoised image of the specimen;
- and
- generating, as output from the denoising model, the single denoised image of the specimen.
A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by one or more processors, causes a computing system to perform operations, comprising:
- obtaining, by the computing system, a set of images of a specimen from an imaging apparatus, wherein the set of images includes at least two images of the specimen against a background;
- denoising, by the computing system, the set of images by inputting the set of images of the specimen into a denoising model, the denoising model configured to output a single denoised image of the specimen;
- and
- generating, as output from the denoising model, the single denoised image of the specimen.
Dependencies are inferred from the claim text.