A Research on Performance Improvement of QR Code Embedding Method into Any Image Using Deep Learning
作者
Kanaru KUMABUCHI,Hiroyuki Kobayashi
出处
期刊:Robotikusu, Mekatoronikusu Koenkai koen gaiyoshu [The Japan Society of Mechanical Engineers] 日期:2022-01-01卷期号:2022: 1P1-Q08
标识
DOI:10.1299/jsmermd.2022.1p1-q08
摘要
The purpose of this research is embed a QR code image into any image by means of deep learning. In this research, I create Encoder model that embeds QR code image into an image and Decoder model that recovers the information of the embedded QR code image referring to the AutoEncoder model. The loss parameters of the two models are shared and optimized.