Cnn reversible data hiding
WebMay 1, 2024 · For copyright and integrity protection of stereo images, a stereo image reversible data hiding (SIRDH) method based on the convolutional neural network (CNN) is presented. To increase the pixel prediction, a CNN-based predictor is designed. Firstly, pixels are divided into two types. For predicting one type of pixels in one view, the other … WebAbstract. In the field of reversible data hiding (RDH), how to predict an image and embed a message into the image with smaller distortion are two important aspects. In this paper, …
Cnn reversible data hiding
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WebJan 18, 2024 · Reversible data hiding (RDH) allows carrying secret information in cover media without introducing permanent distortion. For a RDH method, the important … WebFeb 12, 2024 · The proposed CNN predictor is a lightweight and computation-efficient network with the capabilities of multi receptive fields and global optimization. This CNN …
WebCNN-Prediction-Based-Reversible-Data-Hiding Author: Runwen Hu and Shijun Xiang. School of Information Science and Technology/School of Cyber Security, Jinan … WebNov 30, 2024 · In the field of reversible data hiding (RDH), how to predict an image and embed a message into the image with smaller distortion are two important aspects. In t …
WebFeb 12, 2024 · How to predict images is an important issue in the reversible data hiding (RDH) community. In this letter, we propose a novel CNN-based prediction approach by … WebJan 4, 2024 · This letter proposes an improved CNN predictor (ICNNP) for reversible data hiding (RDH) in images, which consists of a feature extraction module, a pixel prediction …
WebFeb 23, 2024 · The license plate detection and identification accomplished in the paper is done by OpenCV and Tensor flow for the detection of the license plate and the model is trained using CNN for predicting the characters in the number plate. The number of people in the world now is estimated to be 1.38 billion. As the population of India grows, there is …
Web(ICNNP) for reversible data hiding (RDH) in images, which consists of a feature extraction module, a pixel prediction module, and a complexity prediction module. Due to predicting the complexity of each pixel with the ICNNP during the embedding process, the proposed method can achieve superior performance than the CNN predictor-based method. 噓 文字コードWebMar 7, 2024 · Hello, author, first, thank you very much for your outstanding contribution to the field of reversible data hiding. I have the honor to read your article recently, I am very interested in your novel methods, and hope to learn more. bmax i11 カバーWebCNN-Prediction-Based-Reversible-Data-Hiding Author: Runwen Hu and Shijun Xiang. School of Information Science and Technology/School of Cyber Security, Jinan University Guangzhou, China. Description: This version can only calculate the PSNR of images by using the proposed CNN-based predictor (CNNP) with expansion embedding and … 噛み 合わせ 高さ調整