scholarly journals Image Watermark Based on Extended Shearlet and Insertion Using the Largest Information Entropy on Horizontal Cone

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhao Jian ◽  
Sun Meiling ◽  
Jia Jian ◽  
Huang Luxi ◽  
Han Fan ◽  
...  

Extended discrete shearlet provides a directional multiresolution decomposition. It has been mathematically shown that extended discrete shearlet is a more efficient representation for the signals containing distributed discontinuities such as edges, compared to discrete wavelet. Multiresolution analyses such as curvelet and ridgelet share similar properties, yet their directional representations are significantly different from that of extended discrete shearlet. Taking advantage of the unique properties of directional representation of extended discrete shearlet, we develop an image watermark algorithm based on the largest information entropy. In proposed algorithm, firstly, 1-level extended discrete shearlet transform decomposes the test image into directional components on horizontal cone; each directional component reflects directional features and textured features differently. Next, the directional component whose information entropy is the highest is selected to carry watermark. Compared with related algorithms based on DWT and DCT, the proposed algorithm tends to obtain preferable invisibility when it is robust against common attacks.

2013 ◽  
Vol 12 (11) ◽  
pp. 2130-2137
Author(s):  
Xingming Sun ◽  
Shufang Wang ◽  
Zhihua Xia ◽  
Xinhui Wang

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Jian Zhao ◽  
Shuaishuai Fan ◽  
Jian Jia ◽  
Shunli Zhang ◽  
Bo Jiang ◽  
...  

Digital watermarking is a technique used to protect an author’s copyright and has become widespread due to the rapid development of multimedia technologies. In this paper, a novel watermarking algorithm using the nonsubsample shearlet transform is proposed, which combines the directional edge features of an image. A shearlet provides an optimal multiresolution and multidirectional representation of an image based on distributed discontinuities such as edges, which ensures that the embedded watermark does not blur the image. In the proposed algorithm, the nonsubsample shearlet transform is used to decompose the cover image into directional subbands, where different directional subbands represent different directional and textured features. The subband whose texture directionality is strongest is selected to carry the watermark and is thus suitable for the human visual system. Next, singular value decomposition is performed on the selected subband image. Finally, the watermark is embedded in the singular value matrix, which is beneficial for the watermarking robustness and invisibility. In comparison with related watermarking algorithms based on discrete wavelet transforms and nonsubsample contourlet transform domains, experimental results demonstrate that the proposed scheme is highly robust against scaling, cropping, and compression.


2011 ◽  
Vol 6 (9) ◽  
Author(s):  
Yuping Hu ◽  
Zhijian Wang ◽  
Hui Liu ◽  
Guangjun Guo

Sign in / Sign up

Export Citation Format

Share Document