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Proceedings Paper

Improved video image by pixel-based learning for super-resolution
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Paper Abstract

In recent years, the resolution of display devices has been extremely increased. The resolution of video camera (except very expensive one), however, is quite lower than that of display since it is difficult to achieve high spatial resolution with specific frame rate (e.g. 30 frames per second) due to the limited bandwidth. The resolution of image can be increased by interpolation, such as bi-cubic interpolation, but in this method it is known that the edges of image are blurred. To create plausible high-frequency details in the blurred image, super-resolution technique has been studied for a long time. In this paper, we proose a new algorithm for video super-resolution by considering multi-sensor camera system. The multi-sensor camera can capture two types video sequence as follow; (a) high-resolution with low frame rate luminance sequence, (b) low-resolution with high frame rate color sequences. The training pairs for super-resolution are obtained from these two sequences. The relationships between the high- and low-resolution frames are trained using pixel-based feature named "texton" and stored in the database with their spatial distribution. The low-resolution sequences are then represented with texton and each texton is substituted by searching the trained database to create high-resolution features in output sequences. The experimental results showed that the proposed method can well reproduce both the detail regions and sharp edges of the scene. It was also shown that the PSNR of the image obtained by proposed method is improved compared to the image by bi-cubic interpolation method.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7242, Image Quality and System Performance VI, 724217 (19 January 2009); doi: 10.1117/12.810462
Show Author Affiliations
Kenji Kamimura, Chiba Univ. (Japan)
Norimichi Tsumura, Chiba Univ. (Japan)
Toshiya Nakaguchi, Chiba Univ. (Japan)
Hideto Motomura, Panasonic Corp. (Japan)
Yoichi Miyake, Chiba Univ. (Japan)

Published in SPIE Proceedings Vol. 7242:
Image Quality and System Performance VI
Susan P. Farnand; Frans Gaykema, Editor(s)

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