MS-SSIM approximates human similarity judgments and empirical effectiveness measures when applied to test discriminability of visualizations such as scatterplots across varied datasets.
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MWCNN integrates wavelet transforms into CNNs for image restoration tasks like denoising and super-resolution by using wavelet downsampling and inverse transforms to maintain resolution and expand context.
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Discriminability Tests for Visualization Effectiveness and Scalability
MS-SSIM approximates human similarity judgments and empirical effectiveness measures when applied to test discriminability of visualizations such as scatterplots across varied datasets.
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Multi-level Wavelet Convolutional Neural Networks
MWCNN integrates wavelet transforms into CNNs for image restoration tasks like denoising and super-resolution by using wavelet downsampling and inverse transforms to maintain resolution and expand context.