Abstract: The success of modern single image super-resolution (SISR) algorithms is inspired by the development of deep convolutional neural networks (CNNs). However, these CNN-based methods require ...
Abstract: To quantitatively evaluate an image binarization algorithm when the ground-truth binary images are unavailable, the authors propose a quantitative evaluation approach based on pooling. First ...
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