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Super-resolution (SR) from a single image plays an important role in many computer vision applications. It aims to estimate a high-resolution (HR) image from an input low- resolution (LR) image. To ensure a reliable and robust estimation of the HR image, we propose a novel single image SR method that exploits both the local geometric duality (GD) and the(More)
— A digital image stabilization algorithm based on a harmony filter is presented in this paper. The corner points are extracted from the reference image. A new motion estimation method based on diamond search (DS) and partial distortion elimination (PDE) algorithm is proposed in the feature block matching. The global motion parameters are obtained based on(More)
In this paper, an effective single image super-resolution method based on deep learning and gradient transformation is proposed. Firstly, the low-resolution image is upscaled by convolutional neural network. Then we calculate the gradients of the upscaled image, and transform them into desired gradients by using gradient transformation network. The(More)
One- and two-dimensional 1H NMR data tailored to detect paramagnetically relaxed protons near the S = 1/2, three-iron-sulfur cluster of the ferredoxin from the hyperthermophile Pyrococcus furiosus are analyzed to sequence specifically assign the hyperfine shifted ligated cysteine signals, to determine the nature of the secondary structural elements on which(More)
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