Abstract

Typical sensors (CCD or CMOS) used in home digital camcorders have the potential of generating high definition (HD) video sequences. However, the data read out rate is a bottleneck which, invariably, forces significant quality deterioration in recorded video clips. This paper describes a novel technology for achieving a better utilization of sensor capability, resulting in HD quality video clips with esentially the same hardware. The technology is based on the use of a particular type of nonuniform sampling strategy. This strategy combines infrequent high spatial resolution frames with more frequent low resolution frames. This combination allows the data rate constraint to be achieved while retaining an HD quality output. Post processing via filter banks is used to combine the high and low spatial resolution frames to produce the HD quality output. The paper provides full details of the reconstruction algorithm as well as proofs of all key supporting theories.

Highlights

  • CURRENT TECHNOLOGYIn many digital systems, one faces the problem of having a source which generates data at a rate higher than that which can be transmitted over an associated communication channel

  • A hard constraint on the spatial resolution in each frame is determined by the number of sensors in the sensor array, while a hard constraint on the frame rate is determined by the minimum exposure time required by the sensor technology

  • We note that the cross-sectional area of the box depends on the spatial resolution constraint, while the other dimension of the box depends on the maximal frame rate

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Summary

INTRODUCTION

One faces the problem of having a source which generates data at a rate higher than that which can be transmitted over an associated communication channel. We note that the cross-sectional area of the box depends on the spatial resolution constraint, while the other dimension of the box depends on the maximal frame rate As it turns out, the spectrum of typical time-varying images can reasonably be assumed to be contained in this box. The result is a uniformly sampled digital video sequence (see Figure 1) which can perfectly capture only those scenes which have a spectrum limited to a box of considerably smaller dimensions. The resulting data is fused to generate a single high quality video sequence (with high spatial resolution and fast frame rate). This approach has limited practical use because of the use of multiple camcorders.

VIDEO SPECTRAL PROPERTIES
Heuristic explanation of the sampling strategy
Perfect reconstruction from nonuniform sampled data
EXAMPLE
Figure 15
CONCLUSIONS
General
Perfect reconstruction from recurrent sampling
PROOF OF THEOREM 1
PROOF OF THEOREM 2
Full Text
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