National Tsing Hua University Institutional Repository:Fast deconvolution-based image super-resolution using gradient prior
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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Fast deconvolution-based image super-resolution using gradient prior


    题名: Fast deconvolution-based image super-resolution using gradient prior
    作者: Chun-Yu Lin;Chih-Chun Hsu;Chia-Wen Lin;Li-Wei Kang
    教師: 林嘉文
    日期: 2011
    出版者: Institute of Electrical and Electronics Engineers
    關聯: Proc. Visual Communication and Image Processing (VCIP) Conf., Tainan, Taiwan, 6-9 Nov. 2011, Pages 1 - 4
    关键词: deconvolution-based
    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.
    相関连結: http:/
    显示于类别:[電機工程學系] 會議論文
    [光電研究中心] 會議論文


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