Abstract

As we know, lossless information hiding algorithms for images can be classified into three categories, i.e., the spatial domain–based, transform domain–based, and compressed domain–based schemes. The previous chapter focused on the spatial domain schemes; this chapter turns to transform domain–based schemes. We first introduce some related concepts and requirements for lossless information hiding. Then we give a brief overview of transform domain–based information hiding. Next we discuss some typical transform domain–based lossless information hiding methods, which are classified into two categories, i.e., integer discrete cosine transform (DCT)–based schemes and integer discrete wavelet transform (DWT)–based schemes. With regard to integer DCT-based schemes, we introduce three schemes, i.e., the companding technique–based scheme, the histogram modification–based scheme, and the adaptive coefficient modification–based scheme. With regard to integer DWT-based schemes, we introduce three schemes, i.e., the value expansion–based scheme, the histogram shift–based scheme, and the coefficient magnitude prediction–based scheme. All these schemes are compared with the typical spatial domain–based schemes.

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