Invention Application
- Patent Title: NEURAL NETWORK-BASED IMAGE PROCESSING WITH ARTIFACT COMPENSATION
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Application No.: US17841387Application Date: 2022-06-15
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Publication No.: US20220309616A1Publication Date: 2022-09-29
- Inventor: Jim C. Chou , Yun Gong
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T3/40 ; G06T7/11 ; G06T5/50

Abstract:
Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.
Public/Granted literature
- US11893711B2 Neural network-based image processing with artifact compensation Public/Granted day:2024-02-06
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