Year: 2015
Selective Multi-Source Total Variation Image Restoration
We show that fusing multiple noisy images under a total variation penalty improves reconstruction. This idea can be selectively applied to individual pixels of each source image in the case of corrupted sections of images. View on Google Scholar.
Low Rank Sequential Subspace Clustering
We show that forcing the affinity matrix of SpatSC to be low-rank improves performance. View on Google Scholar.