Samsung Electronics Co., Ltd.

Canon Virginia, Inc.

Nikhil Krishnan

Bradley Scott Denney

Bindigan Hariprasanna Pawan Prasad

Green Rosh K S

Anmol Biswas

Sachin Deepak Lomte

Some devices, systems, and methods obtain training images; select a first reference image and a second reference image from the training images; generate a first set of aligned training images, wherein generating the first set of aligned training images includes aligning the training images to the first reference image; generate a first anomaly-detection model based on the first set of aligned training images; generate a second set of aligned training images, wherein generating the second set of aligned training images includes aligning the training images to the second reference image; and generate a second anomaly-detection model based on the second set of aligned training images.

Devices, systems, and methods for anomaly detection

A method for processing image data, may include: receiving at least one image; segregating the at least one image into at least one region, based on a requested noise reduction level; and denoising the at least one image by varying at least one control feature of the segregated at least one region by a neural network to achieve the requested noise reduction level.

Methods and systems for denoising media using contextual information of the media

Growing community of inventors

Bengaluru, India

Nikhil Krishnan