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期刊论文 - Iterative projection reconstruction for
发布时间:2017/6/29  访问人数:170次

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Yang Zhao, Rong-Gang Wang, Wei Jia, Wen-Min Wang, Wen Gao, “Iterative projection reconstruction for fast and efficient image upsampling”, Neurocomputing, vol.226, pp.200-211, 2017.


Abstract:

With the development of ultra-high-resolution display devices, the visual perception of fine texture details is becoming increasingly important. Traditional image upsampling methods suffer from either loss of high-frequency texture details or very high time cost. In this paper, we propose an iterative projection reconstruction (IPR) method for fast and efficient image upsampling. The proposed method refines high-frequency texture details with an iterative projection process, and utilizes the pre-computed projection matrix to accelerate the example-based image reconstruction. As a result, the proposed method can reproduce fine texture details with low time cost. Experimental results demonstrate that the proposed method outperforms some state-of-the-art methods.


Keywords:

UpsamplingSingle-image super-resolutionProjection reconstruction

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