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A new steganalysis system for JPG-based image data hiding is proposed in this paper. We use features extracted from both wavelet and DCT domains that are refined later in the sense of utmost discrimination between the clear and stego images in the classification system. Statistical properties of the SVD of wavelet sub-bands are combined with the extended DCT-Markov features, and the features that...
A novel infrared face recognition method is proposed in this paper. To get stable biological information, the raw thermal images are transformed to the blood perfusion images based on pennes equation, and they are decomposed using two scales' discrete wavelet transform. Then, the components of low frequency sub-bands are partitioned into sub-blocks, then, they are transformed by DCT. Each face is...
A novel infrared face recognition method is proposed in this paper. In this method, according to Stefan-Boltzmann's law, the raw thermal images are transformed to the radiative energy images, and they are decomposed using two scales' discrete wavelet transform. The components of low frequency sub-bands are partitioned into sub-blocks, then, they are transformed by DCT. Each face is represented by...
Robustness against geometric distortion is one of the most important problems in image authentication. In this paper, an image watermarking algorithm robust to geometric transformations is proposed. Radon transformation is used to detect and invert geometric transformations, and a perceptual hash feature detector is proposed to extract significant feature points, finally compares features from two...
A novel method for infrared face recognition based on blood perfusion and sub-block DCT in wavelet domain is proposed in this paper. Firstly, thermal images are converted into blood perfusion domain by blood perfusion model to obtain consistent facial images to reduce the effect of ambient variations. Secondly blood perfusion data are decomposed using discrete wavelet transform. Then, the component...
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