Invention Grant
- Patent Title: Image upscaling with controllable noise reduction using a neural network
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Application No.: US15784039Application Date: 2017-10-13
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Publication No.: US10552944B2Publication Date: 2020-02-04
- Inventor: Zhaowen Wang
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Brake Hughes Bellermann LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/40 ; G06K9/32 ; G06T3/40 ; G06T5/00 ; G06F3/0482

Abstract:
Systems and techniques for converting a low resolution image to a high resolution image include receiving a low resolution image having one or more noise artifacts at a neural network. A noise reduction level is received at the neural network. The neural network determines a network parameter based on the noise reduction level. The neural network converts the low resolution image to a high resolution image and removes one or more of the noise artifacts from the low resolution image during the converting by the using the network parameter. The neural network outputs the high resolution image.
Public/Granted literature
- US20190114742A1 IMAGE UPSCALING WITH CONTROLLABLE NOISE REDUCTION USING A NEURAL NETWORK Public/Granted day:2019-04-18
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