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The Gabor transform, named after Dennis Gabor, is a special case of the short-time Fourier transform. It is used to determine the sinusoidal frequency and phase content of local sections of a signal as it changes over time. The function to be transformed is first multiplied by a Gaussian function, which can be regarded as a window function, and the resulting function is then transformed with a Fourier transform to derive the time-frequency analysis. The window function means that the signal near the time being analyzed will have higher weight. The Gabor transform of a signal x(t) is defined by this formula...
Robust zero-watermarking method and system for medical images based on adaptive 2dewt, pht and gabor transform
PendingCN122265013ADigital data protectionImage data processing detailsPattern recognitionWatermark method
This invention discloses a robust zero-watermarking method and system for medical images based on local minimum adaptive two-dimensional empirical wavelet transform (2DEWT), polar harmonic transform (PHT), and Gabor transform. The method includes the following steps: Step 1, copyright watermark encryption process; Step 2, copyright watermark embedding process; Step 3, copyright watermark extraction process; Step 4, copyright watermark decryption process; Step 5, copyright system usage process. This invention uses 2DEWT in the extraction of medical image features and, based on the characteristics of medical images, designs an adaptive improvement strategy that directly uses the local minimum points of the frequency domain energy curve as sub-band boundaries. The local minimum points are essentially the boundary points of different feature components in the frequency domain of medical images: the boundaries between low-frequency global structures and high-frequency lesion details, and the boundaries of lesion textures in different directions (such as blood vessel orientation and lesion edge angles) all exist in the form of local minimum points. Two-dimensional empirical wavelet transform is performed on medical images to extract low-frequency subbands. Gabor transform is applied to the low-frequency subbands, and PHT is applied to the high-frequency subbands. Image features are obtained through feature fusion, and the copyright watermark is embedded by obtaining the key through XOR with the copyright watermark.
Owner:QIQIHAR UNIVERSITY