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In this paper, a infrared face recognition method using radiant energy conversion and curvelet transformation is proposed. Firstly, to get the stable feature of thermal face, thermal images are converted into radiant energy images according to Stefan-Boltzmann's law. Secondly, curvelet transform has better directional and edge representation abilities than widely used wavelet transformation and other...
A lossy compression scheme for Bayer images is proposed in this paper. Recently, it was found that compression-first schemes outperform the conventional demosaicking-first schemes in terms of output image quality. Balanced multiwavelet packet transforms effectively remove CFA image correlation between frequency bands. Wavelet coefficients shuffling exploring subband correlation makes it suitable for...
In order to protect the copyright of JPEG2000 images, a robust watermark algorithm for JPEG2000 images is proposed. In this algorithm, watermark information is embedded by modifying the wavelet coefficients in pairs after quantization of the original image. On the precondition of robustness, the change is little by especially dealing with wavelet coefficients. Experiment results show that the algorithm...
A new method of bearings fault diagnosis based on the optimal impulse response wavelet is presented. The construction and optimization for mother wavelet are introduced. Theoretical background of the analytic wavelet transform is discussed in this paper. Experiment has confirmed that the proposed method is effective in detecting.
Curvelet transform is one of the recently developed multiscale transform, which can well deal with the singularity of line and provides optimally sparse representation of images with edges. But now the image denoising based on curvelet transform is almost used the Monte Carlo threshold, it is not used the feature of imagespsila curvelet coefficients effectively, so the best result can not be reached...
Image denoising and magnification play an important role in most visual applications such as visual material examination for public security and image-based medical diagnosis. We propose a 1-D kernel fitting algorithm for denoising in space domain and wavelet transformed (WT) domain, and for magnification in space domain. In the algorithm, the values of a column or a row from an image or its transformed...
In this paper, a human visual system (HVS) based water-marking scheme for color images is proposed in order to achieve robustness and transparency. A new just noticeable distortion (JND) estimator for color images is first designed in the wavelet domain. The key issue of the JND estimator is to integrate visual properties. The estimator is an extension to the perceptual model that is used in image...
We propose a Wavelet based Markov Chain (WBMC) model for nature images, which can present statistic divergence between cover image and steg image prominently. Based on Markov chain empirical matrix, we discussed the difference between low frequency domain and high frequency domain generalized by steg process, and then defined two models: WBMC_L model and WBMC_H model respective to construct our WBMC...
Based on the theory of wavelet analysis and principal component analysis, multiscale PCA is introduced which combines the ability of PCA to decorrelate the variables by extracting a linear relationship, with that of wavelet analysis to extract deterministic features and approximately decorrelate autocorrelated measurements to improve the performance of PCA whose modeling is limited to a single scale...
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