Abstract:For single-image super-resolution (SR), deep learning-based approaches have attained superior performance that overshadow all previous approaches. Most recently published deep learning-based single-image SR approaches rely on either deeper or more complex network to achieve further improved results, which are time and space intensive. In this paper, we propose a new method to effectively improve the quality of the final magnified image: a dark channel prior-based network is first designed and then used to regu… Show more
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