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Study of Image Quality of Superimposed Projection Using Multiple Projectors. Takayuki Okatani , Member, IEEE , Mikio Wada, and Koichiro Deguchi , Member, IEEE 指導教授 張元翔 報告人員 陳昱辰. INTRODUCTION.
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Takayuki Okatani, Member, IEEE, Mikio Wada, and
Koichiro Deguchi, Member, IEEE
‧a high-resolution image can be generated by superimposing multiple lower-resolution images projected by different projectors.
‧A key problem in superimposed projection is the computation of the images fed to the component projectors in order to realize a desired image.
‧we mainly consider the box PSF having the same size as a pixel, which is considered to be a good approximation in the case of a DLP projector.
‧This is subject to the lower and upper bounds
of the projector pixel brightness
‧Let us consider the case of 1-D images. We assume the prefilter p and the reconstruction filter r to be box functions whose widths are equivalent to the pixel size of the target image and the projector image,respectively.
A single dark pixel
A single bright pixel
‧The accuracy of image realization by superimposed
projection is affected by the target image itself. A typical example is that black-on-white text images tend to be realized more accurately than white-on-black text images.
‧Degrees of Freedom in the Projector Image Optimization
Maximum brightness is considered to be an important factor in projection-based-display.
the target pixel is less bright, none of these projector pixels may reach the upper bound of the pixel brightness.
There is a general tendency that the realization accuracy monotonically deteriorates as the brightness of the target image increases.
For the geometric calibration, we used the phase-shift method,which is widely used in range finders, to establish the pixel-to-pixel correspondences between the images of the projector and the calibration camera.
Using a sinusoidal brightness pattern for projection, we
estimates the phase of the pattern from the brightness changes at each camera pixel when shifting the phase of the sinusoidal pattern.
These results verify our theoretical results with respect to the image quality of superimposed projection; they hold in the case of real systems and images.