US 10,706,503 B2 · Image processing using a convolutional neural network

Abstract

According to one implementation, an image processing system includes a computing platform having a hardware processor and a system memory storing a software code including a convolutional neural network (CNN) trained using one or more semantic map(s). The hardware processor executes the software code to receive an original image including multiple object images each identified with one of multiple object classes, and to generate replications of the original image, each replication corresponding respectively to one of the object classes. The hardware processor further executes the software code to, for each replication, selectively modify one or more object image(s) identified with the object class corresponding to the replication, using the CNN, to produce partially modified images each corresponding respectively to an object class, and to merge the partially modified images, using the CNN, to generate a modified image corresponding to the original image.

Claims20

Dependent claims

An image processing system comprising:

a computing platform including a hardware processor and a system memory;
a software code stored in the system memory, the software code including a convolutional neural network (CNN) trained using at least one semantic map;
the hardware processor configured to execute the software code to:
receive an original image including a plurality of object images each identified with one of a plurality of object classes;
generate a plurality of replications of the original image, each replication corresponding respectively to one of the plurality of object classes;
for each replication, selectively modify at least one object image identified with the respective one corresponding object class, using the CNN, to produce a plurality of partially modified images corresponding respectively to the plurality of object classes;
and
merge the plurality of partially modified images, using the CNN, to generate a modified image corresponding to the original image.

5 more elements

Dependencies are inferred from the claim text.

Image processing using a convolutional neural network

Life of this patent

Image processing using a convolutional neural network

Life of this patent

Abstract

Claims20