Infrared image watermarking based on the discrete shearlet transform

Nana Wu; Huixin Zhou; Han-lin Qin; Bo Yao; Dong Zhao

doi:10.1117/12.2285613

24 October 2017 Infrared image watermarking based on the discrete shearlet transform

Nana Wu, Huixin Zhou, Han-lin Qin, Bo Yao, Dong Zhao

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104624W (2017) https://doi.org/10.1117/12.2285613
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

This paper narrates infrared image watermarking based on the discrete Shearlet transform(DST). DST has nice multiresolution and multi-directional[1] analysis ability. This feature of DST can be exploited on image watermarking. the proposed method has two purposes. One is hiding watermark information into multi-direction coefficients of the host infrared image to make the watermark is imperceptibility. The other purpose is dealing with various attacks such as noise addition, enlarging, cropping, median filtering and Gaussian filtering to verify the robustness of this method. The experimental results show that the visual effect is satisfactory because the secret information can’t be distinguished by people’s eyes. In fact, through the correlation calculation also shows that the invisible effect is very good.

Citation Download Citation

Nana Wu, Huixin Zhou, Han-lin Qin, Bo Yao, and Dong Zhao "Infrared image watermarking based on the discrete shearlet transform", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624W (24 October 2017); https://doi.org/10.1117/12.2285613

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available