- Patent Title: Video enhancement using a recurrent image date of a neural network
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Application No.: US16403367Application Date: 2019-05-03
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Publication No.: US11210769B2Publication Date: 2021-12-28
- Inventor: Nataliya Shapovalova , Walterio Wolfgang Mayol Cuevas , Silviu Stefan Andrei
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Nicholson De Vos Webster & Elliott, LLP
- Main IPC: G06T5/20
- IPC: G06T5/20 ; G06T5/00 ; H04N21/2662 ; G06T7/13 ; H04N21/2343 ; G06N3/08

Abstract:
Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a previously generated higher resolution image in the video file, upscaling the received image using bilinear upsampling, and combining the upscaled received image and residual value to generate an enhanced image.
Public/Granted literature
- US20200349686A1 VIDEO ENHANCEMENT USING A RECURRENT IMAGE DATE OF A NEURAL NETWORK Public/Granted day:2020-11-05
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