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International Journal of Wavelets Multiresolution and Information Processing is a peer-reviewed journal published by World Scientific, covering Image and Signal Denoising Methods, Mathematical Analysis and Transform Methods, Advanced Image Fusion Techniques.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. International Journal of Wavelets Multiresolution and Information Processing 12, 45–58 (2023).
Formats any DOI in the closest standard style — International Journal of Wavelets Multiresolution and Information Processing has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Image and Signal Denoising Methods Mathematical Analysis and Transform Methods Advanced Image Fusion Techniques Digital Filter Design and Implementation Sparse and Compressive Sensing Techniques |
| ISSN | 0219-6913 |
| Citation impact (2-yr) | 0.78 |
| h-index | 40 |
| i10-index | 302 |
| Total citations | 11,964 |
| Top institutions publishing here | University of Macau |
| Journal website | www.worldscinet.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The fusion of infrared and visible images of the same scene aims to generate a composite image which can provide a more comprehensive description of the scene. In this paper, we propose an infrared and visible image fusion method based on convolutional neural networks (CNNs). In particular, a siamese convolutional network is applied to obtain…
Samples from stochastic signals having sufficient complexity need reveal only a little unexpected shared structure, in order to reject the hypothesis that they are independent. The mere failure of a test of statistical independence can thereby serve as a basis for recognizing stochastic patterns, provided they possess enough degrees-of-freedom, because all unrelated ones would pass…
Huang's data-driven technique of Empirical Mode Decomposition (EMD) is applied to the versatile, broadband, model of fractional Gaussian noise (fGn). The experimental spectral analysis and statistical characterization of the obtained modes reveal an equivalent filter bank structure which shares most properties of a wavelet decomposition in the same context, in terms of self-similarity, quasi-decorrelation and…
Almost all work in automatic facial expression analysis has focused on recognition of prototypic expressions rather than dynamic changes in appearance over time. To investigate the relative contribution of dynamic features to expression recognition, we used automatic feature tracking to measure the relation between amplitude and duration of smile onsets in spontaneous and deliberate smiles…
In this paper, we present an algorithm to automatically detect meaningful modes in a histogram. The proposed method is based on the behavior of local minima in a scale-space representation. We show that the detection of such meaningful modes is equivalent in a two classes clustering problem on the length of minima scale-space curves. The…
