A Texture-synthesis Algorithm Using Regression Models
نویسنده
چکیده
The goal of this research was to develop algorithms for synthesis of specific textures in multi-spectral images. In plain terms, we started with an image of grass texture (64 by 64 pixels), in fact, 42 images of the same area in different spectral wavelengths (including the visible spectrum) (see Figure 1 for an example). The goal was to create a similar multispectral image, which would look like grass (that is, similar to the original picture), but would not be a copy of the original. In other words, we sought a random variation of the original image.
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