Contourlets are a two-dimensional image representation technique designed to efficiently capture the intrinsic geometrical structures in images, such as smooth regions separated by smooth boundaries. Developed by Minh N. Do and Martin Vetterli, the contourlet transform utilizes a double filter bank structure combining the Laplacian pyramid and directional filter banks to achieve multiresolution, localization, and directionality. This method is particularly effective in applications like image denoising, enhancement, and texture classification.
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