Improvement of spatial resolution by integration of high-speed sub-frame images

The super-resolution technique based on the integration of successive frames depends on the accuracy of motion estimation. However, the technique requires a considerable amount of calculation and has a tendency to introduce estimation errors for various video sequences. In this paper, we propose a super-resolution method that involves motion estimation on the basis of block matching using high-speed sub-frame images. Because of the high correlation between sub-frame images, it is possible to reduce the computation required and improve the accuracy of motion estimation. The quality of the generated high-resolution image is further improved by the use of estimated motion vectors. We simulated the proposed method by using a high frame rate video sequence and confirmed its effectiveness.