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(MLE$^{2}$A$^{2}$U)-Net: Image Super-Resolution via Multi-Level Edge Embedding and Aggregated Attentive Upsampler Network.
Nancy Mehta
Subrahmanyam Murala
Published in:
IEEE Trans. Emerg. Top. Comput. Intell. (2023)
Keyphrases
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image super resolution
low resolution
super resolution
dictionary learning
high resolution
maximum likelihood
model selection
kernel regression
computer vision
multiscale
motion estimation
edge detection
graph cuts
image restoration
edge preserving