Name
Abstract | ||
|---|---|---|
Fractal image compression is a relatively recent image compression method, which is simple to use and often leads to a high compression ratio. These advantages make it suitable for the situation of a single encoding and many decoding, as required in video on demand, archive compression, etc. There are two fundamental fractal compression methods, namely, the cube-based and the frame-based methods, being commonly studied. However, there are advantages and disadvantages in both methods. This paper gives an extension of the fundamental compression methods based on the concept of adaptive partition. Experimental results show that the algorithms based on adaptive partition may obtain a much higher compression ratio compared to algorithms based on fixed partition while maintaining the quality of decompressed images. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.camwa.2006.05.009 | Computers & Mathematics with Applications |
Keywords | Field | DocType |
fractal video compression,fundamental fractal compression method,hybrid method,fractal image compression,decompressed image,adaptive partition,higher compression ratio,recent image compression method,fractal,fundamental compression method,fixed partition,high compression ratio,video compression,compression ratio,image compression | Data compression ratio,Mathematical optimization,Texture compression,Fractal compression,Algorithm,Theoretical computer science,Data compression,Fractal transform,Video compression picture types,Image compression,Mathematics,Lossless compression | Journal |
Volume | Issue | ISSN |
51 | 11 | Computers and Mathematics with Applications |
Citations | PageRank | References |
6 | 0.53 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meiqing Wang | 1 | 25 | 3.94 |
| Rong Liu | 2 | 13 | 5.52 |
| Choi-Hong Lai | 3 | 101 | 12.01 |