The authors introduce ISCA and kernel ISCA, PCA-style subspace methods whose reconstruction loss is the structural similarity index, and demonstrate distortion-type recognition on one image.
In: Handbook of Convex Optimization Methods in Imaging Science
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Principal Component Analysis Using Structural Similarity Index for Images
The authors introduce ISCA and kernel ISCA, PCA-style subspace methods whose reconstruction loss is the structural similarity index, and demonstrate distortion-type recognition on one image.