2024 Cnn reversible data hiding

Cnn reversible data hiding

Author: hxbs

August undefined, 2024

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 … 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 …

New CNN-Based Predictor for Reversible Data Hiding IEEE …

WebJan 3, 2024 · Abstract. This letter proposes an improved CNN predictor (ICNNP) for reversible data hiding (RDH) in images, which consists of a feature extraction module, … WebJan 31, 2024 · REVERSIBLE data hiding (RDH) is a kind of data hiding technology in which some secret message is embedded into the cover media for various purposes such as secret communication and integrity authentication. Moreover, the cover media can be exactly recovered after extracting the hidden data. ... “CNN prediction based reversible … lauftyp test

CNN Prediction Based Reversible Data Hiding - IEEE Xplore

WebMar 11, 2024 · Data security is very essential since the communication takes place in the open network. In order to protect the data techniques such as image encryption and data hiding have become very popular. In this paper, a Reversible Data Hiding (RDH) based on combination of optimization algorithm, image interpolation and encryption techniques is … Web, An efficient multi-predictor reversible data hiding algorithm based on performance evaluation of different prediction schemes, Multimedia Tools Appl. 76 (2024) 2131 – 2157. Google Scholar [39] Liu J., Zhou Q., Hu Y., Wei J., A new SMVQ-based reversible data hiding scheme using state-codebook sorting, Graphics, Springer, 2024, pp. 539 – 550. WebJan 1, 2024 · The current hiding algorithms have relatively low hiding capacity and weak security. In this paper, we propose a generative image hiding algorithm based on a residual convolutional neural network (ResCNN) in wavelet domain to overcome the above-mentioned shortcomings. First, the secret image was subjected to wavelet transform. lauftreff tus mondorf

CNN Prediction Based Reversible Data Hiding Semantic …

Convolutional neural networks-based stereo image reversible data hiding ...

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 … 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. lauft torontoWebSep 25, 2024 · A wavelet based digital watermarking scheme for medical images using three level DWT and BCH coding is suggested, which can be used to the medical practitioners for accurate decisions. The transfer of medical images between hospitals is become a normal exercise for better decision making. Digital watermarking has played a … laufwerk clipart

"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

Cnn reversible data hiding

Reversible data hiding using optimization, interpolation and …

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 … 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 …

Did you know?

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 … WebNov 1, 2024 · Abstract. Joint photographic experts group (JPEG) is the most commonly used image format on the Internet, and using reversible data hiding (RDH) technology to verify its authenticity and integrity is of great significance. So far, many RDH algorithms for JPEG image have been proposed, which improve the performance of the algorithm via …

WebIn the past few years, deep learning has become a research hotspot and has had a profound impact on computer vision. Deep CNN has been proven to be the most important and effective model for image processing, but due to the lack of training samples and huge number of learning parameters, it is easy to tend to overfit. In this work, we propose a … 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 …

WebIn the experimental way, it has been shown that the CNN predictor with expansion embedding and histogram shifting techniques can provide better embedding performance in comparison with those classical linear predictors. How to predict images is an important issue in the reversible data hiding (RDH) community. In this letter, we propose a novel … WebJan 18, 2024 · Reversible data hiding (RDH) allows carrying secret information in cover media without introducing permanent distortion. For a RDH method, the important …

WebTransfer_Learning_for_Gas_Sensor_Data源码使用转移学习进行化学气体分类目录投资组合链接详细说明了此项目中用于优化所选度量标准以进行分类的方法。项目简介机器学习框架和算法中的一个重要假设是,训练集和测试集必须具有相似的标签分布,并且数据集必须 ...

WebJan 4, 2024 · Download PDF Abstract: This letter proposes an improved CNN predictor (ICNNP) for reversible data hiding (RDH) in images, which consists of a feature … laufwerk asus installationWebJun 3, 2024 · The data embedding algorithm is presented in Algorithm 3. Based on the difference h of the pixel pair ( x, y ), either difference expansion technique or LSB replacement techniques are employed. If the difference h is expandable as in Definition 3, then use the difference expansion technique as used in Algorithm 3 (line 11). laufty lifeWebadshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A lauftreff philippsburgWebCNN-Prediction-Based-Reversible-Data-Hiding Author: Runwen Hu and Shijun Xiang. School of Information Science and Technology/School of Cyber Security, Jinan … lauftreff sempachWebJan 1, 2024 · Reversible data hiding (RDH) is an important topic of data hiding. In this paper, we exploit pixel-based pixel value ordering prediction (PPVO) and pairwise … just coffee coop discount codeWebJan 15, 2011 · A reversible data hiding scheme for gray level images is proposed in this paper. It is based on a multi-level histogram shifting mechanism. The histogram is constructed by block differences with the reference of their integer medians. In order to preserve the block medians, the image blocks are divided into four categories with … just coastin north myrtle beachWebNov 30, 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 module, and a complexity ... laufwerk c formatieren ohne cd