Maintaining original color when applying super resolution to individual bands
AssigneeBAE Systems Information and Electronic Systems Integration Inc.
InventorBingcai Zhang
Life of this patent
Estimating the term…
Loading patent…
AssigneeBAE Systems Information and Electronic Systems Integration Inc.
InventorBingcai Zhang
Estimating the term…
System and methods for generating super resolution images from geospatial images having any number of bands. A super resolution model, which uses deep convolution neural networks (DCNNs), is trained using individual image bands, a large crop size or tile size of 512×512 pixels, and a de-noise algorithm. Applying one or more algorithms to maintain the original color of the image bands improves the quality metrics of the super resolution images as measured by PSNR (peak signal-to-noise ratio) and SSIM (structural similarity index measure) of super resolution images. Further applying one or more algorithms to remove border effects introduced during the disclosed process reduces and/or eliminates seam lines between tiles and enhances the overall accuracy of the super resolution images.
A computer program product including at least one non-transitory computer readable storage medium in operative communication with a processor and a framework comprising an active data storage and an execution protocol, wherein the execution protocol is coupled with the active data storage, the storage medium having instructions stored thereon that, when executed by the processor, implement a method of generating a super resolution geospatial image from a lower resolution image comprising:
A system comprising:
Dependencies are inferred from the claim text.