Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947980 | Neurocomputing | 2017 | 27 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yang Zhao, Rong-Gang Wang, Wei Jia, Wen-Min Wang, Wen Gao,