Contourlet transform-based drawing method
A scale and image technology, applied in the field of computer graphics, can solve the problems that filters do not have multi-scale characteristics, reconstruction methods do not use anisotropic features, and do not consider drawing space anisotropy, etc., to solve the problem of boundary aliasing, Avoid localized, highly portable effects
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[0029] figure 1 In order to iteratively decompose the coarse-grained image into multi-scale coarse and fine-grained images and multi-scale directional subbands using the Multiscale Laplacian Pyramid (MLP) and Directional Filter Banks (DFBs) in Contourlet. For details, see steps 2, 3, and 5.
[0030] like figure 2 Shown, the present invention is concretely realized as follows;
[0031] Step 1: After roughly sampling the space to be drawn, use it as the initial input image for sampling analysis, randomly place sampling points in the sampling space, and use the sampled image as f 0 As the input of the multi-scale Laplace pyramid transform;
[0032] Step 2: Using the Multiscale Laplacian Pyramid (MLP) transform in Contourlet, iteratively decompose the input image into coarse-grained and fine-grained images of 0 to K scales. For scale K, the input image f k Generate images of the same size by displacement Each transformed image is filtered and down-sampled using filter H to...
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