Name
Abstract | ||
|---|---|---|
Compression of images using transform methods has been of interest for many years. In this paper we propose a new multilayer image compression method which uses wavelet and contourlet transforms. We used structure tensor for identifying texture regions of the image by producing a binary mask. Then we apply wavelet to smooth regions and use contourlet transform for texture area. The proposed method avoids the redundancy of contourlet which has been a bottleneck for low bit rate compression purposes. We showed that images that are compressed and reconstructed by our method at low bit rates have good qualities both visually and in terms of the produced PSNRs. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICME.2010.5583872 | ICME |
Keywords | Field | DocType |
data compression,image coding,image reconstruction,image texture,wavelet transforms,binary mask,contourlet transforms,image reconstruction,low bit rate compression,multilayered image compression method,structure tensor,texture identification,wavelet transforms,contourlet,image compression,multilayer methods,structure tensor,wavelet | Computer vision,Texture compression,Pattern recognition,Image texture,Computer science,Adaptive Scalable Texture Compression,Artificial intelligence,Data compression,Contourlet,Image compression,Wavelet transform,Wavelet | Conference |
ISSN | Citations | PageRank |
1945-7871 | 1 | 0.35 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hossein Talebi | 1 | 37 | 3.61 |
| Nader Karimi | 2 | 145 | 32.75 |
| Shadrokh Samavi | 3 | 233 | 38.99 |
| Shahram Shirani | 4 | 250 | 37.41 |