Simultaneous structure and texture image inpainting
University of Minnesota · University of California, Los Angeles
Abstract
An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and then reconstruct each one of these functions separately with structure and texture filling-in algorithms. The first function used in the decomposition is of bounded variation, representing the underlying image structure, while the second function captures the texture and possible noise. The region of missing information in the bounded variation image is reconstructed using image inpainting algorithms, while the same region in the texture image is filled-in…
Citation impact
- FWCI
- 24.79
- Percentile
- 100%
- References
- 34
Authors
4Topics & keywords
- Inpainting
- Image texture
- Artificial intelligence
- Texture synthesis
- Image (mathematics)
- Computer vision
- Pattern recognition (psychology)
- Texture compression