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The noise removal and endmember unmixing are two pivotal problems for the hyperspectral image (HSI) data exploitation. Different from the traditional approach that treating these two schemes separately, the proposed coupled Denoising and Unmixing (cDeUn) model integrates them into a uniform framework. To obtain the desired denoising and unmixing performances, three issues are included. First, the...
In this paper, an innovative method is proposed for both noise repression and edge preservation. This method is distinct in that the structure tensor is applied in wavelet domain to detect the edge information. And both the shrinkage and the detection process are quantified and unified in the form of the matrix mask. In this way, the image denoising can be conducted with the detailed information maintained...
In this paper, the de-noising method based on multivariate empirical mode decomposition (MEMD) is creatively proposed to put use to pulsar signal, filling the void that the previous methods based on the wavelet analysis have the limitations of choosing the basic functions, and the EMD algorithm's bounded that it can't process multiple signals jointly to avoid the mode mixing. MEMD is an extension...
For most practical image processing systems, people often make the tradeoff between image processing quality and algorithm time complexity, because the best algorithms cannot meet the real-time requirement However, with the introduction and development of CUDA (Compute Unified Device Architecture), GPU (Graphics Processing Unit) is widely used to implement parallel algorithms, which can speed up the...
Speckle reduction is a tough task for ultrasound images processing resulting to their low resolution and contrast. Quaternion wavelet (QW) is of some superior properties compared to discrete wavelets, such as nearly shift-invariant wavelet coefficients and phase based texture presentation. So we aim to exploit the excellent performances of speckle reduction in quaternion wavelet domain (QWD) based...
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