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- W2014313625 abstract "Wavelets, which are used to separate data into different components, have many applications. Steganography, one such application, is a form of secret communication where the existence of a message is concealed. Methods for applying univariate and bivariate wavelets to steganography include embedding messages into the insignificant wavelet coefficients of decomposed signals and images. Recomposing then creates stego-objects that appear unaltered from the original cover-objects. First demonstrated is a technique for hiding messages in strings of data with linear trends using the univariate Daubechies D 4 wavelets. Then, after developing the bivariate Haar wavelets and filters, a unique process of decomposing and recomposing an image in greyscale in order to implement steganography will be illustrated." @default.
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- W2014313625 date "2004-04-01" @default.
- W2014313625 modified "2023-09-25" @default.
- W2014313625 title "WAVELET-BASED STEGANOGRAPHY" @default.
- W2014313625 doi "https://doi.org/10.1080/0161-110491892854" @default.
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