Acknowledgement
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(NRF-2019R1F1A1054552)
Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2021.05a
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- Pages.644-645
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- 2021
CNN-based watermarking processor design optimization method
CNN기반의 워터마킹 프로세서 설계 최적화 방법
- Kang, Ji-Won (Kwangwoon University) ;
- Lee, Jae-Eun (Kwangwoon University) ;
- Seo, Young-Ho (Kwangwoon University) ;
- Kim, Dong-Wook (Kwangwoon University)
- Published : 2021.05.03
Abstract
In this paper, we propose a hardware structure of a watermarking processor based on deep learning technology to protect the intellectual property rights of ultra-high resolution digital images and videos. We propose an optimization methodology to implement a deep learning-based watermarking algorithm in hardware.
본 논문에서는 초 고해상도 디지털 이미지 및 비디오의 지적 재산권 보호를 위한 딥러닝 기술 기반 워터마킹 프로세서의 하드웨어 구조를 제안한다. 하드웨어에서 딥 러닝 기반 워터마킹 알고리즘을 구현하기 위한 최적화 방법론을 제안한다.