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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ouni, Tarek Lassoued, Arij Abid, Mohamed |
| Copyright Year | 2013 |
| Abstract | In most classical lossless image compression schemes, images are scanned line by line, and so, only horizontal patterns are effectively compressed. The proposed approach attempts to better explore image correlation in different directions by adopting a context-based adaptive scanning process. The adopted scanning process aims to generate a compact one-dimensional image representation by using an image gradient based scan process. This process tries to find the best space-filling curve that ensures scanning the image according to the direction where minimal pixels’ intensity change is found. Such scan process would reduce high frequency data. It is used in order to provide an easily compressible smooth and highly correlated mono-dimensional signal. The suggested representation acts as a pre-processing which transforms the image source into some strongly correlated representation before applying coding algorithms. Based on this representation, a new lossless image compression method is designed. Our experimental results show that the proposed image representation is able to significantly improve the signal proprieties in terms of correlation and monotony and then compression performances. The suggested coding scheme shows a competitive compression results compared to conventional lossless coding schemes such as PNG and JPEG 2000. |
| Starting Page | 277 |
| Ending Page | 293 |
| Page Count | 17 |
| File Format | |
| ISSN | 18631703 |
| Journal | Signal, Image and Video Processing |
| Volume Number | 9 |
| Issue Number | 2 |
| e-ISSN | 18631711 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2013-03-10 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Image Lossless Coding Scan Gradient SFC Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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