Progressive Image Transmission Using Singular Value Decomposition
| dc.contributor.author | Chang, Chin-Chen | en_US |
| dc.contributor.author | Liu, Yi-Long | en_US |
| dc.contributor.editor | N. Correia and J. Jorge and T. Chambel and Z. Pan | en_US |
| dc.date.accessioned | 2014-01-26T16:16:44Z | |
| dc.date.available | 2014-01-26T16:16:44Z | |
| dc.date.issued | 2004 | en_US |
| dc.description.abstract | There are many progressive image transmission schemes using vector quantization-related schemes, but there are some problems associated with them. First, these schemes need to train a codebook, and this codebook will directly decide the quality of the recovered image. VQ-related PIT methods also need some time to search the codebook to find the indices of corresponding vectors. Thus, this paper looks for a new PIT method without VQ. By applying SVD to PIT, image will be decomposed into three matrices. After decomposition, certain processes are applied to these matrices, and PIT will be achieved by transmitting these three matrices. The use of the proposed method resulted in higher image quality than would result from the use of traditional methods, like the bit-plane method and the improved bit-plane method, in the experiments conducted in this paper. This paper proposes a new way of PIT, and this new method is achieved PIT without VQ. | en_US |
| dc.description.seriesinformation | Eurographics Multimedia Workshop | en_US |
| dc.identifier.isbn | 3-905673-17-7 | en_US |
| dc.identifier.issn | 1812-7118 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/EGMM/MM04/115-123 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Progressive Image Transmission Using Singular Value Decomposition | en_US |
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