Digital Hologram Compression Technique using Multi-View Prediction based on Image Accumulation 


Vol. 31,  No. 10, pp. 933-941, Oct.  2006


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  Abstract

In this paper, we proposed an efficient coding method for digital hologram (fringe pattern) acquired by a CCD camera or by computer generation using multi-view prediction technique and MPEG video compression standard technique. It proceeds each R, G, or B color component separately. The basic processing unit is a partial image segmented into the size of N×N. Each partial image retains the information of the whole object. This method generates an assembled image for a row of the segmented and frequency-transformed partial images, which is the basis of the coding process. That is, a motion estimation and compensation technique of MPEG is applied to the reconstructed images from the assembled images with the disparities found during generation of assembled image and the original partial images. Therefore the compressed results are the disparity of eachpartial image to form the assembled image for the corresponding row, assembled image, and the motion vectors and the compensated image for each partial image. The experimental results with the implemented algorithm showed that the proposed method has NC (Normal Correlation) values about 4% higher than the previous method, by which ours has better compression efficiency. Consequently, the proposed method is expected to be used effectively in the application areas to transmit the digital hologram data. can be identified in comparison with the previous researches and commercial IPs.

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  Cite this article

[IEEE Style]

H. Choi, Y. Seo, J. Bae, J. Yoo, H. Kim, D. Kim, "Digital Hologram Compression Technique using Multi-View Prediction based on Image Accumulation," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 933-941, 2006. DOI: .

[ACM Style]

Hyun-Jun Choi, Young-Ho Seo, Jin-Woo Bae, Ji-sang Yoo, Hwa-sung Kim, and Dong-Wook Kim. 2006. Digital Hologram Compression Technique using Multi-View Prediction based on Image Accumulation. The Journal of Korean Institute of Communications and Information Sciences, 31, 10, (2006), 933-941. DOI: .

[KICS Style]

Hyun-Jun Choi, Young-Ho Seo, Jin-Woo Bae, Ji-sang Yoo, Hwa-sung Kim, Dong-Wook Kim, "Digital Hologram Compression Technique using Multi-View Prediction based on Image Accumulation," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 933-941, 10. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880