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Image Recovery Using Sparse Reconstruction Based Texture Refinement (2010)
| Content Provider | CiteSeerX |
|---|---|
| Author | Lakshman, Haricharan Ndjiki-Nya, Patrick Wieg, Thomas |
| Description | We present a robust algorithm for spatial recovery of miss-ing region in images. The algorithm consists of two stages: sparse modeling and patch based refinement. We note that a model based image recovery might not be able to reconstruct the richness or details in a signal unless the signal truly fits that model. We show that the reconstruction using a sparse model provides enough information about the inherent fea-tures present in the unknown area, using which, a patch based refinement process can replicate the structure and the natural texture from the surrounding available samples. The devel-oped algorithm is tested on a variety of image characteristics. Significant objective and subjective gains are observed com-pared to the state-of-the-art. Index Terms — Image recovery, Texture refinement, Sparse reconstruction, Error concealment In Proc of IEEE Int. Conf. on Acustic Speech and Signal Proc |
| File Format | |
| Language | English |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
