Invention Grant
- Patent Title: System and method for detecting image forgery through convolutional neural network and method for providing non-manipulation detection service using the same
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Application No.: US16657994Application Date: 2019-10-18
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Publication No.: US11861816B2Publication Date: 2024-01-02
- Inventor: Hyeon-gi Kim , Rokkyu Lee
- Applicant: NHN CLOUD CORPORATION
- Applicant Address: KR Gyeonggi-do
- Assignee: NHN CLOUD CORPORATION
- Current Assignee: NHN CLOUD CORPORATION
- Current Assignee Address: KR Gyeonggi-Do
- Agency: Ladas & Parry, LLP
- Priority: KR 20180124376 2018.10.18
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T5/20 ; G06N3/04 ; G06N3/08

Abstract:
A system and a method for detecting image forgery through a convolutional neural network are capable of detecting image manipulation of compressed and/or color images. The system comprises a manipulated feature pre-processing unit applying an input image to a high-pass filter to enhance features due to image forgery; a manipulated feature extraction unit extracting image manipulated feature information from the image with the enhanced features through a pre-trained convolutional neural network; a feature refining unit refining the extracted image manipulated feature information; and a manipulation classifying unit determining the image forgery based on the image manipulated feature information refined by the feature refining unit.
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