Video generation for high spatio-temporal resolution imaging

Abstract

We propose a color video generation method for spatio-temporal high-resolution video imaging in dark conditions. The proposed method consists of two steps. First, RGB-separated video sequences with different spatio-temporal resolution sets are captured to increase the amount of captured light. Second, a high spatiotemporal resolution color video is reconstructed from those input video sequences in the regularization framework. We show the advantages of our method using a prototype camera system and simulation results.

Blur-free high-sensitivity imaging system utilizing combined long/short exposure green pixels

“…We used sample images provide by the Institute of Image Information and Television Engineers images. At first, we compared the conventional method [4,7] and the proposed method with respect to the PSNR of the output images. Captured images g were simulated by sampling the f. Interval of long-term exposure was 4 frames.…”

“…Then, the quality of the reconstruction image of our proposed system is stable under such a scene. In addition, our proposed method is faster than the conventional method [4,7] because our proposed method does not require motion information that the computational complexity was very high.…”

“…Our proposed method is much faster than the conventional method [4,7] based on the following two points:…”

“…Previously, we have proposed the image reconstruction algorithm using long-term exposed G pixels over several frames combined with an original imager that has pixels with different exposure time [4,7]. Extending the exposure time increased the motion blur at the G pixels.…”

Real-time computational camera system for high-sensitivity imaging by using combined long/short exposure

“…1 5,10 . We defined pixels which had a low-frame-rate image exposed over a long-term as 'long exposure pixels' and pixels which had a high-frame-rate image exposed over a short-term as 'short exposure pixels.'…”