In this paper, we propose a frame-interpolation algorithm considering the smoothness of the motion of moving objects. In our proposal, motion field is estimated by a hierarchical block matching scheme, in which motion field is corrected by using information about appearing regions, occluding regions, and edge points. Frames are interpolated in such a way that the displacement of the moving objects between frames is approximated with the cubic-spline function.
In this paper we propose a motion estimation scheme using multiple imagers with differing frame rates or sampling instances. Both the gradient-based method and the block-matching method are formulated for the multiple imagers. For a common set of real and synthetic image sequences, the scheme shows significant improvement over the conventional method with a single imager.
Towards the development of a VHD(Very high definition) image acquisition system, previously we developed the signal-processing based approach with multiple cameras. The approach produces an improved resolution image with sufficiently high signal-to-noise ratio by processing and integrating multiple images taken simultaneously with multiple cameras. Originally, in this approach, we used multiple cameras with the same pixel aperture, but in this case there needs to be severe limitations both in the arrangement of multiple cameras and in the configuration of the scene, in order to guarantee the spatial uniformity of the resultant resolution. To overcome this difficulty completely, the work presents the utilization of multiple cameras with different pixel apertures, and develops a new, alternately iterative signal-processing algorithm available in the different aperture case. Experimental simulations clearly show that the utilization of multiple different-aperture cameras prospects well and that the alternately iterative algorithm behaves satisfactorily.
It is not practical to apply 2-D image coding to the holographic fringe because the character of the fringe is quite different from 2-D image. We demonstrate 2-D coding can be used effectively to compress fringe when the segmented fringe is transformed from spatial region to frequency region.