Region Filling and Object Removal by Exemplar-Based Image Inpainting
Microsoft (United States) · Microsoft Research (United Kingdom)
Abstract
A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has been addressed by two classes of algorithms: 1) "texture synthesis" algorithms for generating large image regions from sample textures and 2) "inpainting" techniques for filling in small image gaps. The former has been demonstrated for "textures"--repeating two-dimensional patterns with some stochasticity; the latter focus on linear "structures" which can be thought of as one-dimensional patterns, such as lines and object contours. This paper presents a novel and efficient algorithm that combines the advantages of these…
Citation impact
- FWCI
- 33.97
- Percentile
- 100%
- References
- 33
Authors
3Topics & keywords
- Inpainting
- Texture synthesis
- Artificial intelligence
- Robustness (evolution)
- Pixel
- Computer vision
- Computer science
- Algorithm