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Our method is based on a Dynamic Texture analysis, which is a technique to estimate scene motion in image sequences.
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The homography is estimated based on the known shape of the motion and in-image tracking of a single rotating point.
Motion deblurring is a frequently used approach for reducing this image degradation resulting from motion blur in image shooting.
However, a trade-off exists between brightness and motion blur in image shooting, because it is difficult to obtain non-blurred bright images with a decreased exposure time, since less light is then projected onto the image sensor.
We show that global, constant-velocity, translational motion in an image sequence induces in the DCT domain spectral occupancy planes, similarly to the FT domain.
Although these techniques are effective at detecting the debris position and motion in the image sequences, there are some issues concerned with computational load and assumed debris motion.
In general, these methods suffer from the aperture problem because each neighbourhood of pixels can have a different motion in the image [9 11].
But even if this can be shown, a problem remains: While there may not be an independent check for the motion in an image, there is likewise no independent check for a genuine illusion of color.
Global, constant-velocity, translational motion in an image sequence induces a characteristic energy footprint in the Fourier-transform (FT) domain; spectrum is limited to a plane with orientation defined by the direction of motion.
In this situation, pursuit produces equal and opposite motion in the image.
At the Consumer Electronics Show last week, the company displayed smaller chips that TV makers could use to create slimmer sets with brighter, high-contrast pictures and smoother motion in the images.
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