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arXiv · 1912.08002

Adaptive Densely Connected Super-Resolution Reconstruction

Tangxin Xie·Xin Yang·Yu Jia·Chen Zhu·Xiaochuan Li
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Abstract

For a better performance in single image super-resolution(SISR), we present an image super-resolution algorithm based on adaptive dense connection (ADCSR). The algorithm is divided into two parts: BODY and SKIP. BODY improves the utilization of convolution features through adaptive dense connections. Also, we develop an adaptive sub-pixel reconstruction layer (AFSL) to reconstruct the features of the BODY output. We pre-trained SKIP to make BODY focus on high-frequency feature learning. The comparison of PSNR, SSIM, and visual effects verify the superiority of our method to the state-of-the-art algorithms.

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Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li. 2019-12-17. Adaptive Densely Connected Super-Resolution Reconstruction. https://arxiv.org/abs/1912.08002

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