Iterative projection reconstruction for fast and efficient image upsampling

详细信息    查看全文

• 作者：Yang Zhao^a ; ^bAuthor Vitae ; Rong-Gang Wang^a ; ^{rgwang@pkusz.edu.cn}Author Vitae ; Wei Jia^bAuthor Vitae ; Wen-Min Wang^aAuthor Vitae ; Wen Gao^aAuthor Vitae
• 关键词：Upsampling ; Single-image super-resolution ; Projection reconstruction
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：22 February 2017
• 年：2017
• 卷：226
• 期：Complete
• 页码：200-211
• 全文大小：1920 K
• 卷排序：226

文摘

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.