Fast deconvolution-based image super-resolution using gradient prior

Chun Yu Lin, Chih Chung Hsu, Chia Wen Lin*, Li Wei Kang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

7 引文 斯高帕斯(Scopus)

摘要

Single-image super-resolution (SR) is to reconstruct a high-resolution image from a low-resolution input image. Nevertheless, most SR algorithms are performed in an iterative manner and are therefore time-consuming. In this paper, we propose an iteration-free single-image SR algorithm based on fast deconvolution with gradient prior. Based on the prior calculated from the initially upsampled image via current approach (e.g., bicubic interpolation or example/learning-based approaches), we make the deconvolution process well-posed, which can be efficiently solved in FFT domain. Moreover, the proposed algorithm can be directly applied to video SR, where the temporal coherence can be automatically maintained. Experimental results demonstrate that the proposed method can simultaneously obtain significant acceleration and quality improvement over several existing SR methods.

原文英語
主出版物標題2011 IEEE Visual Communications and Image Processing, VCIP 2011
DOIs
出版狀態已發佈 - 2011
對外發佈
事件2011 IEEE Visual Communications and Image Processing, VCIP 2011 - Tainan, 臺灣
持續時間: 2011 十一月 62011 十一月 9

出版系列

名字2011 IEEE Visual Communications and Image Processing, VCIP 2011

會議

會議2011 IEEE Visual Communications and Image Processing, VCIP 2011
國家/地區臺灣
城市Tainan
期間2011/11/062011/11/09

ASJC Scopus subject areas

  • 電腦視覺和模式識別

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