Name
Abstract | ||
|---|---|---|
Abstract Image cloning has many useful applications, such as removing unwanted objects, fixing damaged parts of images, and panorama stitching. Instead of using pixel intensities, the gradient domain is used in Poisson image editing; however, it suffers from two main problems: color bleeding and bleeding artifacts. In this paper, a modified Poisson blending (MPB) technique is presented which ensures dependency on the boundary pixels of both target and source images rather than just those of the target. The problem of bleeding artifacts is reduced. This makes the proposed technique suitable for use in video compositing as it avoids the flickering caused by bleeding artifacts. To reduce the problem of color bleeding, we use an additional alpha compositing step. Our experimental results using the proposed technique show that MPB reduces the bleeding problems and generates more natural composited images than other techniques. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s41095-015-0027-z | Computational Visual Media |
Keywords | Field | DocType |
image processing,image inpainting,image blending,image cloning,image enhancement | Poisson image editing,Computer vision,Image stitching,Pattern recognition,Feature detection (computer vision),Image processing,Artificial intelligence,Color bleeding,Image restoration,Mathematics,Compositing,Color image | Journal |
Volume | Issue | ISSN |
1 | 4 | 2096-0662 |
Citations | PageRank | References |
3 | 0.39 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahmoud Afifi | 1 | 35 | 10.85 |
| Khaled Hussain | 2 | 40 | 7.80 |