End-to-end fully-connected network for compressed sensing jointly optimizes sensing and reconstruction using SSIM loss and reports improved SSIM and MSE scores over prior methods.
Maximum differentiation (mad) competi- tion: A methodology for comparing computational models of perceptual quantities
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Deep Learning of Compressed Sensing Operators with Structural Similarity Loss
End-to-end fully-connected network for compressed sensing jointly optimizes sensing and reconstruction using SSIM loss and reports improved SSIM and MSE scores over prior methods.