Kenji Kamimura., Norimichi Tsumura, Toshiya Nakaguchi, and Yoichi Miyake
Chiba University
Optical Review Vol.17, No.3, pp.114-122, Mar. 2010
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 pixelbased 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 lowspatiotemporal-
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 Freemanfs
patch-based super-resolution method. Compared with that of the Freemanfs
patch-based super-resolution method, the computational time of our method
was reduced to almost 1/10.
Full paper ( to appear )
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