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Pranita Patil and Kevin Purcell
Although deep learning has proven to be tremendously successful, the main issue is the dependency of its performance on the quality and quantity of training datasets. Since the quality of data can be affected by biases, a novel deep learning method based...
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Yuantao Chen, Jin Wang, Xi Chen, Arun Kumar Sangaiah, Kai Yang and Zhouhong Cao
For the image super-resolution method from a single channel, it is difficult to achieve both fast convergence and high-quality texture restoration. By mitigating the weaknesses of existing methods, the present paper proposes an image super-resolution alg...
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