Geometric rearrangement of images includes operations
such as image retargeting, inpainting, or object rearrangement.
Each such operation can be characterized by a shiftmap:
the...
Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes α-expansion moves and iterative refinement ove...
Abstract Recently proposed edge-preserving multiscale image decompositions enable artifact-free and visually appealing image editing. As the human eye is sensitive to contrast, per...
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...