Scale-Adaptive Image Super-Resolution Reconstruction
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    Abstract:

    In recent years, the image super-resolution reconstruction has always been a hot research field, but the corresponding research results about arbitrary-scale-ratio super resolution are still rare. Under high scale ratio, the image resolution will become lower, and it is difficult for human eyes to recognize such image content. With the advancement of technology, machine vision has been used to recognize the images with very low resolution, and the research on arbitrary-scale-ratio super resolution has become increasingly important. Through testing various representative super-resolution algorithms, this study proposes a scale-adaptive super-resolution reconstruction algorithm according to a full-scale quality sum criterion after performing extensive arbitrary-scale-ratio analysis on image super resolution. Experimental results show that the proposed algorithm can achieve better overall-reconstruction performance within the whole scale range.

    Reference
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况奇刚,刘浩,吴乐明,张鑫生,孙晓帆.倍增比自适应的图像超分辨率重建.计算机系统应用,2018,27(12):150-155

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  • Received:April 28,2018
  • Revised:May 21,2018
  • Online: December 05,2018
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