Texton-Based Super-Resolution for Achieving High Spatiotemporal
Resolution in Hybrid Camera System

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 Freemanfs patch-based super-resolution method. Compared with that of the Freemanfs patch-based super-resolution method, the computational time of our method was reduced to almost 1/10.

Full paper ( to appear )
[PDF]

Back