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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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study of image quality of superimposed projection using multiple projectors

Study of Image Quality of Superimposed ProjectionUsing 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
INTRODUCTION

‧a high-resolution image can be generated by superimposing multiple lower-resolution images projected by different projectors.

  • analyze the quality of the images realized by this method and show its several fundamental properties.
introduction1
INTRODUCTION

‧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.

multiprojector super resolution
MULTIPROJECTOR SUPER-RESOLUTION
  • Model of the Image Formation
multiprojector super resolution1
MULTIPROJECTOR SUPER-RESOLUTION
  • Computing the Projector Images

‧This is subject to the lower and upper bounds

of the projector pixel brightness

dependency of realization accuracy on image structures
DEPENDENCY OF REALIZATION ACCURACY ON IMAGE STRUCTURES
  • Analyzing Toy Problems

‧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.

fig 1
Fig.1

A single dark pixel

fig 2
Fig.2

A single bright pixel

dependency of realization accuracy on image structures1
DEPENDENCY OF REALIZATION ACCURACY ON IMAGE STRUCTURES

‧Experimental Results

‧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.

tradeoff between realization accuracy and image brightness
TRADEOFF BETWEEN REALIZATION ACCURACY ANDIMAGE BRIGHTNESS

‧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.

fig7 8
Fig7.8
  • a = 1 a = 5
tradeoff between realization accuracy and image brightness1
TRADEOFF BETWEEN REALIZATION ACCURACY ANDIMAGE BRIGHTNESS
  • Experimental Results

There is a general tendency that the realization accuracy monotonically deteriorates as the brightness of the target image increases.

demonstration by a real system1
DEMONSTRATION BY A REAL SYSTEM

‧Experimental methods

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.

demonstration by a real system2
DEMONSTRATION BY A REAL SYSTEM

‧Experimental Results

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.

summary and discussions
SUMMARY AND DISCUSSIONS
  • the realization accuracy depends on the structure of the target image to be realized
  • The method of (multi) projector superimposed projection is itself a novel imaging technology and could have many potential applications not limited to ordinary image projection.