Detail Reconstruction for SDR-HDR Conversion
AssigneeDisney Enterprises, Inc.
InventorsYang ZHANG, Tunc AYDIN
Life of this patent
Estimating the term…
Abstract
The exemplary embodiments relate to converting standard dynamic range (SDR) content to high dynamic range (HDR) content. An SDR image may be decomposed into a base layer of the SDR image that includes low frequency information from the SDR image and a detail layer of the SDR image that includes high frequency information from the SDR image. A base layer of an HDR image may be generated using the base layer of the SDR image and a detail layer of the HDR image may be generated using the detail layer of the SDR image. An HDR image is then generated using the base layer of the HDR image and the detail layer of the HDR image.
Claims18
A method comprising:
- receiving a standard dynamic range (SDR) image;
- decomposing the SDR image into a base layer of the SDR image and a detail layer of the SDR image;
- processing the base layer of the SDR image using a first neural network to generate a base layer of a high dynamic range (HDR) image;
- processing the detail layer of the SDR image using a second neural network to generate a detail layer of the HDR image;
- combining the base layer of the HDR image and the detail layer of the HDR image to generate a combined HDR output;
- and
- processing the combined HDR output using a third fully neural network to generate the HDR image.
6-7. (canceled)
A device comprising:
- a communication interface;
- and
- a processor configured to perform operations, the operations comprising:
- receiving a standard dynamic range (SDR) image;
- decomposing the SDR image into a base layer of the SDR image and a detail layer of the SDR image;
- processing the base layer of the SDR image using a first neural network to generate a base layer of a high dynamic range (HDR) image;
- processing the detail layer of the SDR image using a second neural network to generate a detail layer of the HDR image;
- combining the base layer of the HDR image and the detail layer of the HDR image to generate a combined HDR output;
- and
- processing the combined HDR output using a third fully neural network to generate the HDR image.
16-17. (canceled)
Dependencies are inferred from the claim text.