Abstract

Several approaches for increasing the speed in computation of the digital holograms of three-dimensional objects have been presented with applications to real-time display of holographic images. Among them, a look-up table (LUT) approach, in which the precalculated principal fringe patterns for all possible image points of the object are provided, has gained a large speed increase in generation of computer-generated holograms. But the greatest drawback of this method is the enormous memory size of the LUT. A novel approach to dramatically reduce the size of the conventional LUT, still keeping its advantage of fast computational speed, is proposed, which is called here a novel LUT (N-LUT) method. A three-dimensional object can be treated as a set of image planes discretely sliced in the z direction, in which each image plane having a fixed depth is approximated as some collection of self-luminous object points of light. In the proposed method, only the fringe patterns of the center points on each image plane are precalculated, called principal fringe patterns (PFPs) and stored in the LUT. Then, the fringe patterns for other object points on each image plane can be obtained by simply shifting this precalculated PFP according to the displaced values from the center to those points and adding them together. Some experimental results reveal that the computational speed and the required memory size of the proposed approach are found to be 69.5 times faster than that of the ray-tracing method and 744 times smaller than that of the conventional LUT method, respectively.

© 2008 Optical Society of America

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References

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    [CrossRef]
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    [CrossRef]
  3. U. Schnars and W. Jueptner, Digital Holography-Digital Hologram Recording, Numerical Reconstruction, and Related Techniques (Springer, 2004).
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    [CrossRef] [PubMed]
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    [CrossRef]
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    [CrossRef]
  8. http://www.crlopto.com/.
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    [PubMed]
  10. S. C. Kim, J. K. Lee, and E. S. Kim, “Fast generation of computer generated hologram with reduced look-up table,” in OSA Topical Meeting, Digital Holography and Three-Dimensional Imaging (Optical Society of America, 2007).

2006 (1)

K. Iizuka, “Welcome to the wonderful world of 3D: introduction, principles and history,” Opt. Photon. News 17(7), 42-51 (2006).
[CrossRef]

2001 (1)

1993 (1)

M. Lucente, “Interactive computation of holograms using a look-up table,” J. Electron. Imag. 2, 28-34 (1993).
[CrossRef]

1967 (1)

Abookasis, D.

Hariharan, P.

P. Hariharan, Optical Holography; Principles Techniques, and Applications, Cambridge Studies in Modern Optics (Cambridge University, 1996).
[PubMed]

Iizuka, K.

K. Iizuka, “Welcome to the wonderful world of 3D: introduction, principles and history,” Opt. Photon. News 17(7), 42-51 (2006).
[CrossRef]

Jueptner, W.

U. Schnars and W. Jueptner, Digital Holography-Digital Hologram Recording, Numerical Reconstruction, and Related Techniques (Springer, 2004).

Kim, E. S.

S. C. Kim, J. K. Lee, and E. S. Kim, “Fast generation of computer generated hologram with reduced look-up table,” in OSA Topical Meeting, Digital Holography and Three-Dimensional Imaging (Optical Society of America, 2007).

Kim, S. C.

S. C. Kim, J. K. Lee, and E. S. Kim, “Fast generation of computer generated hologram with reduced look-up table,” in OSA Topical Meeting, Digital Holography and Three-Dimensional Imaging (Optical Society of America, 2007).

Kuo, C. J.

C. J. Kuo and M. H. Tsai, Three-Dimensional Holographic Imaging (Wiley, 2002).
[CrossRef]

Lee, J. K.

S. C. Kim, J. K. Lee, and E. S. Kim, “Fast generation of computer generated hologram with reduced look-up table,” in OSA Topical Meeting, Digital Holography and Three-Dimensional Imaging (Optical Society of America, 2007).

Li, Y.

Lohmann, A. W.

Lucente, M.

M. Lucente, “Interactive computation of holograms using a look-up table,” J. Electron. Imag. 2, 28-34 (1993).
[CrossRef]

Paris, D. P.

Poon, T.-C.

T.-C. Poon, Digital Holography and Three-Dimensional Display (Springer, 2007).

Rosen, J.

Schnars, U.

U. Schnars and W. Jueptner, Digital Holography-Digital Hologram Recording, Numerical Reconstruction, and Related Techniques (Springer, 2004).

Tsai, M. H.

C. J. Kuo and M. H. Tsai, Three-Dimensional Holographic Imaging (Wiley, 2002).
[CrossRef]

Appl. Opt. (2)

J. Electron. Imag. (1)

M. Lucente, “Interactive computation of holograms using a look-up table,” J. Electron. Imag. 2, 28-34 (1993).
[CrossRef]

Opt. Photon. News (1)

K. Iizuka, “Welcome to the wonderful world of 3D: introduction, principles and history,” Opt. Photon. News 17(7), 42-51 (2006).
[CrossRef]

Other (6)

C. J. Kuo and M. H. Tsai, Three-Dimensional Holographic Imaging (Wiley, 2002).
[CrossRef]

U. Schnars and W. Jueptner, Digital Holography-Digital Hologram Recording, Numerical Reconstruction, and Related Techniques (Springer, 2004).

T.-C. Poon, Digital Holography and Three-Dimensional Display (Springer, 2007).

http://www.crlopto.com/.

P. Hariharan, Optical Holography; Principles Techniques, and Applications, Cambridge Studies in Modern Optics (Cambridge University, 1996).
[PubMed]

S. C. Kim, J. K. Lee, and E. S. Kim, “Fast generation of computer generated hologram with reduced look-up table,” in OSA Topical Meeting, Digital Holography and Three-Dimensional Imaging (Optical Society of America, 2007).

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Figures (6)

Fig. 1
Fig. 1

Computation model for generating a Fresnel hologram.

Fig. 2
Fig. 2

Overall block-diagram of the proposed N-LUT method.

Fig. 3
Fig. 3

Flow chart of CGH generation process with the proposed method.

Fig. 4
Fig. 4

Three-dimensional object consisting of four point images located on two depth planes.

Fig. 5
Fig. 5

Generation process of CGH pattern using the proposed method.

Fig. 6
Fig. 6

Computationally reconstructed images. (a) Focused “front die” with ray-tracing method. (b) Focused “rear die” with ray-tracing method. (c) Focused “front die” with LUT method. (d) Focused “rear die” with LUT method. (e) Focused “front die” with N-LUT method. (f) Focused “rear die” with N-LUT method.

Tables (1)

Tables Icon

Table 1 Comparisons of Computation Time and Memory Size for Each Method

Equations (11)

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O ( x , y ) = p = 1 N a p r p exp [ j ( k r p + φ p ) ] ,
r p = ( x x p ) 2 + ( y y p ) 2 + z p 2 .
R ( x , y ) = a R exp [ j ( k x sin θ R ) ] .
I ( x , y ) = | R ( x , y ) + O ( x , y ) | 2 = | R ( x , y ) | 2 + | O ( x , y ) | 2 + 2 | R ( x , y ) | | O ( x , y ) | × cos [ k r p + k x sin θ R + φ p ] .
I ( x , y ) = 2 p = 1 N a p r p cos ( k r p + k x sin θ R + φ p ) .
T ( x , y ; x p , y p , z p ) 1 r p cos [ k r p + k x sin θ R + φ p ] .
I ( x , y ) = p = 1 N a p T ( x , y ; x p , y p , z p ) .
T ( x , y ; z p ) 1 r p cos [ k r p + k x sin θ R + φ p ] .
I ( x , y ) = p = 1 N a p T ( x x p , y y p ; z p ) ,
H o r i z o n t a l       r e s o l u t i o n     o f     t h e     P F P : [ h x + ( d i s k × O x ) ] ,
V e r t i c a l     r e s o l u t i o n     o f     t h e     P F P : [ h y + ( d i s k × O y ) ] ,

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