Sparse representation and analysis toolbox for multi-scale image processing.
Visit CurveletsCurvelets is a mathematical transform toolbox for image processing and scientific computing, offering a higher-dimensional generalization of the wavelet transform. It efficiently represents image data with curved singularities, allowing for sparse, multi-scale, and multi-angle decomposition, making it particularly valuable for applications in image analysis, inverse problems, and computational science. The toolbox is suited for researchers, engineers, and academics working with advanced signal and image processing.
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Comprehensive guides and references for the Curvelet transform and its applications.
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Access a collection of research papers and articles detailing the mathematical foundations and applications of Curvelets.
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