Inpainting with sparse linear combinations of exemplars

Journal Article · Tue Jan 01 04:00:00 EST 2008

OSTI ID:960615

Wohlberg, Brendt ^[1]

---

1. Los Alamos National Laboratory

We introduce a new exemplar-based inpainting algorithm based on representing the region to be inpainted as a sparse linear combination of blocks extracted from similar parts of the image being inpainted. This method is conceptually simple, being computed by functional minimization, and avoids the complexity of correctly ordering the filling in of missing regions of other exemplar-based methods. Initial performance comparisons on small inpainting regions indicate that this method provides similar or better performance than other recent methods.

• Research Organization: Los Alamos National Laboratory (LANL)
• Sponsoring Organization: DOE
• DOE Contract Number: AC52-06NA25396
• OSTI ID: 960615
• Report Number(s): LA-UR-08-05494; LA-UR-08-5494
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ALGORITHMS
FUNCTIONALS
IMAGES
MINIMIZATION
PERFORMANCE