Name
Title | ||
|---|---|---|
A hybrid approach of wavelet packet and directional decomposition for image compression |
Abstract | ||
|---|---|---|
In this paper, a novel image compression technique, the combination of wavelet packet transform and directional decomposition, is proposed. Wavelet packet transform is an increasingly remarkable approach which outperforms the standard wavelet transform in image coding. It can be employed to exploit the image redundancy efficiently and therefore obtain a high compression ratio. Directional filtering coding technique, as one of the "second generation image coding techniques", first introduced the concept of directional decomposition. By placing emphasis on edge detection to preserve edge information to exploit the fact that the human visual system is more sensitive to image edge features, it is generally capable to obtain a relatively high compression ratio. The approach proposed in this paper decomposed an image into a low frequency component and a number of high frequency components, with the edges on each high frequency component at its own directions. By a combination process of Cartesian coordinate rotation transform, interpolation, wavelet packet transform, and a coding algorithm, the image is reconstructed at an improved visual quality at the same bitrate compared to the common wavelet pyramid algorithm. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/CCECE.1999.808039 | Electrical and Computer Engineering, 1999 IEEE Canadian Conference |
Keywords | Field | DocType |
data compression,edge detection,image coding,image reconstruction,interpolation,low-pass filters,wavelet transforms,cartesian coordinate rotation transform,coding algorithm,directional decomposition,directional filtering coding technique,high compression ratio,high frequency components,hybrid approach,image compression,image edge features,image redundancy,low frequency component,second generation image coding techniques,wavelet packet transform | Harmonic wavelet transform,Lifting scheme,Computer science,Discrete wavelet transform,Artificial intelligence,Wavelet packet decomposition,Wavelet,Wavelet transform,Computer vision,Algorithm,Second-generation wavelet transform,Speech recognition,Stationary wavelet transform | Journal |
Volume | Issue | ISSN |
2 | 2 | 0840-7789 |
ISBN | Citations | PageRank |
0-7803-5579-2 | 3 | 0.54 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. N. Zhang | 1 | 28 | 6.89 |
| Xiangyou Wu | 2 | 3 | 0.54 |