Invention Grant
- Patent Title: Retouching digital images utilizing separate deep-learning neural networks
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Application No.: US17072372Application Date: 2020-10-16
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Publication No.: US11521299B2Publication Date: 2022-12-06
- Inventor: Federico Perazzi , Jingwan Lu
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T5/00 ; G06T7/11 ; G06K9/62 ; G06N3/04 ; G06N3/08 ; G06T3/40 ; G06V30/262

Abstract:
The present disclosure relates to an image retouching system that automatically retouches digital images by accurately correcting face imperfections such as skin blemishes and redness. For instance, the image retouching system automatically retouches a digital image through separating digital images into multiple frequency layers, utilizing a separate corresponding neural network to apply frequency-specific corrections at various frequency layers, and combining the retouched frequency layers into a retouched digital image. As described herein, the image retouching system efficiently utilizes different neural networks to target and correct skin features specific to each frequency layer.
Public/Granted literature
- US20220122224A1 RETOUCHING DIGITAL IMAGES UTILIZING SEPARATE DEEP-LEARNING NEURAL NETWORKS Public/Granted day:2022-04-21
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