What are the advantages of watermarking in different domains ex.DCT Vs DWT ?
[Matthew Miller] All the different domains like DCT, DWT used in watermarking are energy preserving, orthogonal transforms. The way I think about them is to imagine their effects on a high-dimensional “media space”, in which each axis corresponds to one value in the representation of a Work (e.g. in image space, each axis might correspond to the brightness of one pixel, in audio space, each axis might correspond to one audio sample, etc.). Thus, each point in this space is a representation of a Work (image, audio clip, etc.). When you apply an energy-preserving, orthogonal transform, what you’re doing is rotating the coordinate system so that each axis has a new interpretation (e.g. instead of pixels, they’re now frequencies). If the watermarking method is independent of the coordinate axes, applying one of these transforms will have no effect on its performance. For example, consider a very simple embedder that applies a transform, adds a white noise pattern, and inverts the transform
