Reversible Date Hiding using Multi Level Integer Wavelet Decomposition and Intelligent Coefficient Selection

Author(s):  
S. Yousefi ◽  
H. R. Rabiee ◽  
E. Yousefi ◽  
M. Ghanbari
Author(s):  
Uche A. Nnolim

This paper presents algorithms based on fractional multiscale gradient fusion and multilevel wavelet decomposition for underwater and hazy image enhancement. The algorithms utilize partial differential equation (PDE)-generated low- and high-frequency images fused via gradient domain and anisotropic diffusion. Furthermore, wavelet multi-level decomposition, estimation and adjustment of detail and approximation coefficients are employed in improving local and global enhancement. Solutions to halo effect are also developed using compressive bilateral filters or other nonlinear/nonlocal means filter. Ultimately, experimental comparisons indicate that the proposed methods surpass or are comparable to several algorithms from the literature.


Optik ◽  
2017 ◽  
Vol 146 ◽  
pp. 38-50 ◽  
Author(s):  
Qing Tian ◽  
Chao Zhao ◽  
Yuan Zhang ◽  
Hongquan Qu

1999 ◽  
Author(s):  
Julien Reichel ◽  
Gloria Menegaz ◽  
Marcus J. Nadenau

2013 ◽  
Vol 756-759 ◽  
pp. 3298-3302
Author(s):  
Si Yu Lai ◽  
Juan Wang

Analyze a human visual model based wavelet domain digital watermark algorithm and improved it. First conduct multi-level wavelet decomposition on original image and modify medium frequency coefficient, and then adapt the algorithm to embed the watermark into the source image. The experiment shows that the watermark embedded image enjoys better imperceptibility and robustness to JPEG compression, add gaussian noise, contrast enhancement e.t. traditional image processing operations.


2018 ◽  
Vol 8 (3) ◽  
pp. 234-241 ◽  
Author(s):  
Yanping Wang ◽  
Dianjun Gong ◽  
Liping Pang ◽  
Dan Yang

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