Texton-based super-resolution for achieving high spatiotemporal resolution in hybrid camera system |
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Authors: | Kenji Kamimura Norimichi Tsumura Toshiya Nakaguchi Yoichi Miyake |
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Institution: | 3. Graduate School of Science and Technology, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan 1. Graduate School of Advanced Integration Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan 2. Research Center for Frontier Medical Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan
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Abstract: | Many super-resolution methods have been proposed to enhance the spatial resolution of images by using iteration and multiple
input images. In a previous paper, we proposed the example-based super-resolution method to enhance an image through pixel-based
texton substitution to reduce the computational cost. In this method, however, we only considered the enhancement of a texture
image. In this study, we modified this texton substitution method for a hybrid camera to reduce the required bandwidth of
a high-resolution video camera. We applied our algorithm to pairs of high- and low-spatiotemporal-resolution videos, which
were synthesized to simulate a hybrid camera. The result showed that the fine detail of the low-resolution video can be reproduced
compared with bicubic interpolation and the required bandwidth could be reduced to about 1/5 in a video camera. It was also
shown that the peak signal-to-noise ratios (PSNRs) of the images improved by about 6 dB in a trained frame and by 1.0–1.5
dB in a test frame, as determined by comparison with the processed image using bicubic interpolation, and the average PSNRs
were higher than those obtained by the well-known Freeman’s patch-based super-resolution method. Compared with that of the
Freeman’s patch-based super-resolution method, the computational time of our method was reduced to almost 1/10. |
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