The Technology of Digital Image Hiding Based on Discrete Wavelet Transform

2015 ◽  
Vol 740 ◽  
pp. 718-721
Author(s):  
Hua Wei Pang

On the basis of researching wavelet transform, we give a fast wavelet image hiding algorithm. Wavelet transform coefficient of the carrier image will fusion the information image's, Then using inverse wavelet transform gets the original image. In order to improve the performance of anti-attack of the hidden image, before hiding information image we do the scrambling operation. Experimental results show that the scrambling algorithm and hiding algorithm combines not only further enhance the security of the hidden system and robustness has also been enhanced.

2020 ◽  
Vol 24 (3) ◽  
Author(s):  
Ariel Rodriguez Mendez ◽  
Clara Cruz Ramos ◽  
Rogelio Reyes Reyes ◽  
Volodymyr Ponomaryov

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Wei Wang ◽  
Haiyan Tan ◽  
Yu Pang ◽  
Zhangyong Li ◽  
Peng Ran ◽  
...  

Encryption of a digital image is very important especially in applications of body area networks (BANs) since the image may include a number of privacy. Past encryption methods have disadvantages of the small key space and low ability of resistance to attack. In this paper, we propose a new encryption algorithm based on discrete wavelet transform (DWT) and multichaos which has characteristics of the deterministic, pseudorandomness, and sensitivity of initial values. The image is first decomposed and spatial reconstructed by two-dimensional DWT and then is performed by multichaos matrices for space encryption. The experimental results indicate that the proposed algorithm has a large key space, high key sensitivity, and excellent ability of resistance to attack.


Using SWT (Stationary Wavelet Change) & SIFT (Scale Invariant Feature Transformation) we attempted to increase the number of features recognized & matched with digital image for forgery identification. Digital image received preferable match for forged area. We collected the forgery area using SIFT& SURF for identification of forgery. We used DWT (Discrete Wavelet Transform) w.r.t. SIFT & SW to subdue absence of translation invariance..


Sign in / Sign up

Export Citation Format

Share Document