Name
Abstract | ||
|---|---|---|
Image width is an important factor for making the partially recovered data perceptually meaningful in image file carving. The authors conduct a comprehensive comparison of the performance of the representative methods for estimating the JPEG image width. Experimental results show that the best methods based on pixels are always better than the best methods based on quantised discrete cosine transf... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2016.0531 | IET Image Processing |
Keywords | Field | DocType |
discrete cosine transforms,image coding,quantisation (signal) | Computer vision,Carving,Pattern recognition,Vertical direction,Discrete cosine transform,Image file formats,JPEG,File carving,Artificial intelligence,Pixel,Microcontroller,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 7 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianyan Wu | 1 | 0 | 1.69 |
| Qi Han | 2 | 139 | 30.38 |
| Xiamu Niu | 3 | 754 | 91.72 |
| Hongli Zhang | 4 | 267 | 41.85 |
| Siu-ming Yiu | 5 | 1026 | 92.90 |
| Fang Junbin | 6 | 45 | 12.99 |