Name
Abstract | ||
|---|---|---|
Image painting is an image doctoring method to remove particular objects. In this paper, a novel passive detection method for paint-doctored JPEG images is proposed when the doctored image is saved in an uncompressed format or in the JPEG compressed format. We detect the doctored region by computing the average of sum of absolute difference images between the doctored image and a resaved JPEG compressed image at different quality factors. There are several advantages of the proposed method: first, it can detect the doctored region accurately even if the doctored region is small in size; second, it can detect multiple doctored regions in the same image; third, it can detect the doctored region automatically and does not need any manual operation; finally, the computation is simple. Experimental results show that the proposed method can detect the paint-doctored regions efficiently and accurately. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-18405-5-1 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
absolute difference image,doctored image,image doctoring method,paint-doctored jpeg image,doctored region,novel passive detection method,paint-doctored region,image painting,multiple doctored region,quality factor | Computer vision,Computer graphics (images),Computer science,Passive detection,Theoretical computer science,Image forensics,JPEG,Artificial intelligence,Jpeg compression,Computation,Uncompressed video,Absolute difference | Conference |
Volume | Issue | ISSN |
6526 LNCS | null | 16113349 |
Citations | PageRank | References |
1 | 0.36 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Qian Zhao | 1 | 92 | 9.98 |
| Frank Y. Shih | 2 | 1103 | 89.56 |
| Yun Q. Shi | 3 | 2918 | 199.53 |