Name
Abstract | ||
|---|---|---|
In this paper, we proposed an efficient coding method for digital hologram (fringe pattern) acquired with a CCD camera or by computer generation using multi-view prediction and MPEG video compression standard techniques. It processes each R, G, or B color component separately. The basic processing unit is a partial image segmented as the size of M × N. Each partial image retains the information of the whole object. This method generates an assembled image for a column 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 between 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 each partial image to form the assembled image for the corresponding column, 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 (Normalized Correlation) values about 4% higher than the previous method at the same compression ratios, which convinced us that ours has better compression efficiency. Consequently, the proposed method is expected to be used effectively in the application areas to transmit or store in digital format the digital hologram data. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1093/ietisy/e90-1.1.118 | IEICE Transactions |
Keywords | Field | DocType |
efficient coding method,compression ratio,partial image,reconstructed image,original partial image,multi-view prediction,digital holographic video,new coding technique,previous method,frequency-transformed partial image,compression efficiency,mpeg video compression standard,compression,dct | Computer vision,Pattern recognition,Computer science,Binary image,Image processing,Digital image,Artificial intelligence,Motion estimation,Digital image processing,Data compression,Standard test image,Image compression | Journal |
Volume | Issue | ISSN |
E90-D | 1 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-Ho Seo | 1 | 91 | 22.88 |
| Hyun-Jun Choi | 2 | 55 | 17.04 |
| Jin-Woo Bae | 3 | 11 | 1.39 |
| Hoon-Jong Kang | 4 | 9 | 2.87 |
| Seung-Hyun Lee | 5 | 0 | 0.34 |
| Ji-Sang Yoo | 6 | 48 | 8.30 |
| Dong-Wook Kim | 7 | 93 | 20.92 |