Inicio  /  Information  /  Vol: 9 Núm: 9 Par: Septemb (2018)  /  Artículo
ARTÍCULO
TITULO

Visual Saliency Model-Based Image Watermarking with Laplacian Distribution

Hongmei Liu    
Jinhua Liu and Mingfeng Zhao    

Resumen

-

 Artículos similares

       
 
Nishant Kumar and Stefan Gumhold    
Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical image ... ver más
Revista: Computers

 
Ho-Hyoung Choi, Hyun-Soo Kang and Byoung-Ju Yun    
One of the significant qualities of the human vision, which differentiates it from computer vision, is so called attentional control, which is the innate ability of our human eyes to select what visual stimuli to pay attention to at any moment in time. I... ver más
Revista: Applied Sciences

 
Zheming Zuo, Bo Wei, Fei Chao, Yanpeng Qu, Yonghong Peng and Longzhi Yang    
Egocentric video analysis is an important tool in healthcare that serves a variety of purposes, such as memory aid systems and physical rehabilitation, and feature extraction is an indispensable process for such analysis. Local feature descriptors have b... ver más

 
Hongmei Liu, Jinhua Liu and Mingfeng Zhao    
To improve the invisibility and robustness of the multiplicative watermarking algorithm, an adaptive image watermarking algorithm is proposed based on the visual saliency model and Laplacian distribution in the wavelet domain. The algorithm designs an ad... ver más
Revista: Information

 
Chunxing Wang, Xiaoyue Han, Wenbo Wan, Jing Li, Jiande Sun and Meiling Xu    
-
Revista: Information