Abstract | ||
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A novel image resizing algorithm is proposed. In our method, three steps are included in the downsampling: the first-round downsampling, the interim upsampling and the second-round downsampling. The downsampling operation unit size is selected between one single 16 × 16 block size and four 8 × 8 block sizes during the first-round downsampling processing. To distinguish the selected downsampling operation unit size, the interim upsampling and the second-round downsampling is required. The DCT coefficients of the interim upsampling image indicate the selected downsampling unit size. The DCT coefficients are converted by some way like lifting step and simultaneously downsampled in the second round. The information about selected operator unit size is contained in the final downsampling image. Experimental results demonstrate the proposed method achieves better result than the relevant existing method. |
Year | DOI | Venue |
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2007 | 10.1093/ietisy/e90-d.8.1308 | IEICE Transactions |
Keywords | Field | DocType |
downsampling operation unit size,selected downsampling unit size,Adaptive Image,block size,interim upsampling,first-round downsampling processing,selected downsampling operation unit,second-round downsampling,final downsampling image,DCT coefficient,DCT Domain,first-round downsampling | Block size,Computer vision,Signal processing,Decimation,Computer science,Discrete cosine transform,Algorithm,Artificial intelligence,Adaptive algorithm,Upsampling,Dimensioning,Discrete cosine transforms | Journal |
Volume | Issue | ISSN |
E90-D | 8 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hai-Feng Xu | 1 | 0 | 0.34 |
Yu Song | 2 | 356 | 52.74 |
Ci Wang | 3 | 0 | 0.68 |