Integer wavelet transform for thermal image authentication

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 Integer Wavelet 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.