Patent ID: 11907835
Assignee: YEDA RESEARCH AND DEVELOPMENT CO. LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A computer implemented method for increasing a resolution of a specific single test image, the method comprising:
constructing an image-specific deep learning neural network (DLNN), by selecting number of nodes, number of layers, and their inter connections, configured specifically for increasing the resolution of said specific single test image;
generating training target outputs from said specific single test image, via transformations thereof;
generating a corresponding training input for each of said training target outputs, by downscaling resolution of said training target outputs;
training said DLNN to increase image resolution, using a training set comprising pairs of said training target outputs and their said corresponding training inputs, whereby the DLNN is trained to increase resolution only of said specific single test image and images originated therefrom; and
applying said trained DLNN on said specific single test image, wherein said specific single test image is provided as an input to said trained DLNN, to obtain an output image with increased-resolution thereof.