Invention Grant
- Patent Title: Super-resolution defect review image generation through generative adversarial networks
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Application No.: US16180957Application Date: 2018-11-05
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Publication No.: US10949964B2Publication Date: 2021-03-16
- Inventor: Anuj Pandey , Bradley Ries , Himanshu Vajaria , Yong Zhang , Rahul Lakhawat
- Applicant: KLA-Tencor Corporation
- Applicant Address: US CA Milpitas
- Assignee: KLA-Tencor Corporation
- Current Assignee: KLA-Tencor Corporation
- Current Assignee Address: US CA Milpitas
- Agency: Suiter Swantz pc llo
- Priority: IN201841035629 20180921
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T3/40 ; G06N3/08 ; G06N3/04

Abstract:
A system for analyzing a sample includes an inspection sub-system and at least one controller. The inspection sub-system is configured to scan a sample to collect a first plurality of sample images having a first image resolution. The controller is configured to generate a defect list based on the first plurality of sample images. The controller is further configured to input images corresponding to the defect list into a neural network that is trained with source data including sample images having the first image resolution and sample images having a second image resolution higher than the first image resolution. The controller is further configured to generate a second plurality of sample images with the neural network based on the images corresponding to the defect list, where the second plurality of sample images have the second image resolution and correspond to the defect list.
Public/Granted literature
- US20200098101A1 Super-Resolution Defect Review Image Generation Through Generative Adversarial Networks Public/Granted day:2020-03-26
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