The resolution of a texture image in computer graphics is determined by the camera system used to take the image. Zooming in on the object beyond the optical resolution results in a loss of edges and details. We developed a "super resolution" method that uses a database of textures and texton substitution to create plausible high-frequency detail in enlarged texture images. Conventional example-based super-resolution techniques involve a high computational cost and users must provide the optimal parameters for the input image. Using texton in the wavelet space and a pixel-based (not a patch-based) substitution reduces the computational cost.
CITATION STYLE
Kamimura, K., Tsumura, N., Nakaguchi, T., Sugaya, T., & Miyake, Y. (2006). Super resolution method using texton substitution. Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 60(10), 1655–1657. https://doi.org/10.3169/itej.60.1655
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