@conference {90133, title = {Integer Wavelet Transform for Thermal Image Authentication}, booktitle = {7th IEEE International Conference of Soft Computing and Pattern Recognition, }, year = {2015}, month = {November 13 - 15}, address = { Kyushu University, Fukuoka, Japan, }, abstract = {

Thermal imaging is a technology with property of
seeing objects in the darkness. Such property makes this technology
very important tool for security and surveillance applications.
In this paper, a thermal image authentication technique using
hash function is proposed. In this technique, the thermal images
are used as cover images and bits from secret data (i.e. messages
or images) are then hidden in the cover images. This is achieved
by using the hash function and IntegerWavelet Transform (IWT).
1, 2 and 3 bits per bytes have been hidden in both horizontal
and vertical components of wavelet transform. The proposed
technique has been evaluated based on mean square error (MSE),
peak signal to noise ratio (PSNR), image fidelity (IF) and standard
deviation (SD). The results have shown better performance of the
proposed technique comparing with the most related work.

}, author = {Sara Yassen, and Tarek Gaber and Aboul Ella Hassanien} }