Robust image double-watermarking method
A robust, image-based technology, applied in the field of digital image double watermarking, can solve problems such as not combining human visual texture characteristics, achieve excellent denoising ability, improve efficiency, and improve robustness
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[0036] 1. Introduction to basic theory
[0037] 1.1 Theoretical basis of EMD
[0038] In 1998, Huang et al. proposed a new signal processing method, the Empirical Mode Decomposition (EMD) method, to process non-stationary and nonlinear signals. According to the local characteristics of the signal, the EMD method can adaptively decompose it into components of high to low frequency and local narrowband, that is, the intrinsic kernel function IMF (Intrinsic Mode Function). This decomposition algorithm is proposed by Huang et al. The sieve method is called the sieving process. The signal x(t) is then decomposed into the sum of multiple local narrowband IMFs and a monotonic residual trend function.
[0039] The EMD decomposition on the signal x(t) can be expressed as the formula:
[0040] x ( t ) = Σ i = 1 n ...
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