Kenji Kamimura, Norimichi Tsumura, Toshiya Nakaguchi, Takashi Sugaya and Yoichi Miyake
Department of Information and Image Sciences,
Chiba University, Inage-ku, Chiba, Japan
The Journal of the institute of image information and television engineers (Accepted to be published in Oct. 2006).
Abstract
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 gsuper resolutionh 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.
Full paper ( to appeare )
[PDF] (in Japanese])