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/Image Processing Method And Neural Processing Unit For Region-specific Blurring
Abstract

An image processing method performed by a neural processing unit is disclosed. The method includes receiving an input image including at least one object and processing the input image using a first model via the neural processing unit to detect a particular object among the at least one object, the first model being an artificial neural network-based object detector trained to detect the particular object in an image. The method further includes processing the input image using a second model via the neural processing unit to blur the particular object in the input image, the second model being an artificial neural network trained to blur a region corresponding to the particular object. An output image including the blurred particular object is generated.

Full Text

What is claimed is:

An image processing method performed by a neural processing unit is disclosed. The method includes receiving an input image including at least one object and processing the input image using a first model via the neural processing unit to detect a particular object among the at least one object, the first model being an artificial neural network-based object detector trained to detect the particular object in an image. The method further includes processing the input image using a second model via the neural processing unit to blur the particular object in the input image, the second model being an artificial neural network trained to blur a region corresponding to the particular object. An output image including the blurred particular object is generated.
Timeline
Filed
03/06/2026
Published
07/09/2026
Granted
Not Available
IPC Codes(2)
G06V 10/82:using neural networks
G06V 10/70:using pattern recognition or machine learning (optical pattern recognition or electronic computations therefor G06V 10/88)