Name
Abstract | ||
|---|---|---|
Reassembling fragmented image files plays a crucial role in seizing digital evidence from scattered digital image files. However, little attention has been paid to the quality assessment for reassembled image files. We propose a method to assign a reassembled image file with a score indicating its quality, defined as the amount of information that the reassembled image affords for its original ima... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2015.2510446 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Quality assessment,Indexes,Image reconstruction,Distance measurement,Digital images,Digital forensics,Ash | Data mining,Digital forensics,Computer science,Image processing,Digital image,Artificial intelligence,Concatenation,Iterative reconstruction,Information retrieval,Pattern recognition,Image file formats,Digital evidence,Digital image processing | Journal |
Volume | Issue | ISSN |
23 | 2 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianyan Wu | 1 | 0 | 1.69 |
| Qi Han | 2 | 139 | 30.38 |
| Xiamu Niu | 3 | 754 | 91.72 |