Name
Abstract | ||
|---|---|---|
In this paper, we present a novel wavelet-based compression algorithm for multiview images. This method uses a layer-based representation, where the 3-D scene is approximated by a set of depth planes with their associated constant disparities. The layers are extracted from a collection of images captured at multiple viewpoints and transformed using the 3-D discrete wavelet transform (DWT). The DWT consists of the 1-D disparity compensated DWT across the viewpoints and the 2-D shape-adaptive DWT across the spatial dimensions. Finally, the wavelet coefficients are quantized and entropy coded along with the layer contours. To improve the rate-distortion performance of the entire coding method, we develop a bit allocation strategy for the distribution of the available bit budget between encoding the layer contours and the wavelet coefficients. The achieved performance of our proposed scheme outperforms the state-of-the-art codecs for several data sets of varying complexity. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIP.2012.2201490 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Bit rate allocation,compression,multiview image coding,wavelet transforms | Computer vision,Pattern recognition,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Cascade algorithm,Data compression,Stationary wavelet transform,Wavelet packet decomposition,Mathematics,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
21 | 9 | 1057-7149 |
Citations | PageRank | References |
20 | 0.79 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andriy Gelman | 1 | 20 | 1.13 |
| Dragotti, P.L. | 2 | 512 | 39.29 |
| Vladan Velisavljević | 3 | 39 | 1.48 |