Invention Grant
- Patent Title: Method and apparatus for removing hidden data based on autoregressive generative model
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Application No.: US16244404Application Date: 2019-01-10
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Publication No.: US10909649B2Publication Date: 2021-02-02
- Inventor: Sungroh Yoon , Ho Bae , Dahuin Jung
- Applicant: Seoul National University R&DB Foundation
- Applicant Address: KR Seoul
- Assignee: Seoul National University R&DB Foundation
- Current Assignee: Seoul National University R&DB Foundation
- Current Assignee Address: KR Seoul
- Agency: Paratus Law Group, PLLC
- Priority: KR10-2018-0127108 20181024
- Main IPC: G06T1/00
- IPC: G06T1/00 ; G06N7/00 ; G06T7/13 ; G06T5/00 ; G06N3/08

Abstract:
Disclosed is a hidden data removal method based on an autoregressive generative model which is performed by a computer device. The hidden data removal method includes receiving a source image, randomly selecting a target pixel from the source image, and inputting the source image and an identifier of the target pixel to an autoregressive generative model and restoring the target pixel from the source image. The source image is an image in which steganography-based data is hidden, and the autoregressive generative model restores the target pixel on the basis of a pixel value distribution for pixels adjacent to the target pixel in the source image.
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