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This paper introduces a novel steganography-based approach to protect the iris data by hiding it into a digital image for personal identification purpose. Logistic map is utilized for generating two pseudorandom sequences, one for encrypting the biometric data before hiding, and another for hiding position encryption. Meanwhile, JND (Just Noticeable Difference) model and JPEG quantization table are...
A new robust watermarking method, named QIM-NSGA-II, is proposed based on the non-dominated sorting genetic algorithm II (NSGA-II) and quantization index modulation (QIM). The NSGA-II algorithm is utilized to find out the optimal embedding position and adaptive quantization step for embedding watermark into a carrier image in the framework of QIM. In the process of searching an optimal solution, the...
In this paper, a novel robust watermarking algorithm is presented in mixed transform domain. The original host image is first decomposed into four sub-bands by Discrete Wavelet Transform (DWT). Then approximate coefficients are relocated by Arnold transform to create a noise-like version and divided into non-overlapping 8 ?? 8 blocks. Each block is Zig-zag scanned and sorted in descending order before...
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