Digital Image Watermarking Processor Based on Deep Learning

Jae-Eun Lee, Ji-Won Kang, Woo-Suk Kim, Jin-Kyum Kim, Young-Ho Seo, Dong-Wook Kim
2021 Electronics  
Much research and development have been made to implement deep neural networks for various purposes with hardware. We implement the deep learning algorithm with a dedicated processor. Watermarking technology for ultra-high resolution digital images and videos needs to be implemented in hardware for real-time or high-speed operation. We propose an optimization methodology to implement a deep learning-based watermarking algorithm in hardware. The proposed optimization methodology includes
more » ... m and memory optimization. Next, we analyze a fixed-point number system suitable for implementing neural networks as hardware for watermarking. Using these, a hardware structure of a dedicated processor for watermarking based on deep learning technology is proposed and implemented as an application-specific integrated circuit (ASIC).
doi:10.3390/electronics10101183 fatcat:obakkwjwjnclbcfk7i6qcz4kbu