Inicio  /  Information  /  Vol: 11 Par: 2 (2020)  /  Artículo
ARTÍCULO
TITULO

Digital Image Watermarking Techniques: A Review

Mahbuba Begum and Mohammad Shorif Uddin    

Resumen

Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.

Palabras claves

LSB -  DCT -  DFT -  DWT -  SVD

 Artículos similares

       
 
Gang Yao, Guifeng Wang, Lihai Tan, Yinfeng Zhang, Ruizhi Wang and Xiaohan Yang    
To study the influence of inclusions on the fracture evolution and mechanical properties of mortar structures, a series of uniaxial compression tests for mortar samples containing cylinder inclusions of varying mechanical properties were conducted. The d... ver más
Revista: Applied Sciences

 
Yan Wang, Nan Guan, Jie Li and Xiaoli Wang    
Fourier ptychographic microscopy (FPM) is a computational imaging technology that has endless vitality and application potential in digital pathology. Colored pathological image analysis is the foundation of clinical diagnosis, basic research, and most b... ver más
Revista: Applied Sciences

 
Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim    
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it... ver más
Revista: Information

 
Georgios Karantaidis and Constantine Kotropoulos    
The detection of computer-generated (CG) multimedia content has become of utmost importance due to the advances in digital image processing and computer graphics. Realistic CG images could be used for fraudulent purposes due to the deceiving recognition ... ver más
Revista: Information

 
Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo and Xavier Maldague    
Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in a wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficie... ver más
Revista: Information