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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yingen Xiong Dingding Liu Pulli, K. |
| Copyright Year | 2009 |
| Description | Author affiliation: Nokia Research Center, Palo Alto, CA, USA (Yingen Xiong; Dingding Liu; Pulli, K.) |
| Abstract | We present a gradient domain object editing approach and its implementation for mobile devices. It can be used for creating a new composite image by removing, adding, and moving objects in an image. The approach can be divided into two parts: creation and editing of a new gradient vector field, and recovery of a new composite image from the new gradient vector field. In the first part, a new gradient vector field is created from the gradients of the source image, and then updated by inserting the new object gradients, by removing object gradients and filling removed areas with the gradients of best-fit patches found in other parts of the source image, or by combining these two processes when moving objects. In the second part, a divergence vector field is computed from the gradient vector field and used for a guidance vector to construct a Poisson equation. The new composite image is recovered from the gradient vector field by solving the Poisson equation with boundary conditions. Our approach can merge all regions in the picture seamlessly with smooth color transition for the whole picture. It can be used for large object removal and for filling the background of the removed object. The final composite image is a globally optimal solution. The approach is implemented and runs with good performance on mobile camera phones. |
| Starting Page | 1256 |
| Ending Page | 1260 |
| File Size | 790285 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424458257 |
| ISSN | 10586393 |
| e-ISBN | 9781424458271 |
| DOI | 10.1109/ACSSC.2009.5469959 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Poisson equations Smoothing methods Boundary conditions Merging Image restoration Diffusion processes Image sampling Mobile computing Lighting |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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