Single image super-resolution by approximated Heaviside functions
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- 作者：Liang-Jian Denga ; liangjian1987112@126.com" class="auth_mail" title="E-mail the corresponding author ; Weihong Guo ; b ; wxg49@case.edu" class="auth_mail" title="E-mail the corresponding author ; Ting-Zhu Huanga ; tingzhuhuang@126.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Single image super-resolution ; Approximated Heaviside functions ; Iterative model
- 刊名：Information Sciences
- 出版年：2016
- 出版时间：20 June 2016
- 年：2016
- 卷：348
- 期：Complete
- 页码：107-123
- 全文大小：7441 K
文摘
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Recover high resolution images with arbitrary upscaling factors from one single low resolution image.
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The unknown image can be viewed as consisting of smooth components and edges.
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Conduct continuous modeling by two sets of approximated Heaviside functions.
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One of the two sets represents smooth components and the other represents edges of images.
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The new method is fast and gets better numerical results than some competitive methods.