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文件名称:Super-resolution
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- 上传时间:2013-09-24
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文件大小:2.74mb
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本文提出,为第一次,一个统一的多图像超分辨率盲法(MISR或SR),单个图像模糊反卷积(二次发射离子束淀积),和多图像模糊反褶积(国际金业)的低分辨率(LR)图像退化通过线性空间不变(LSI)模糊,锯齿,加白高斯噪声(AWGN)。该方法是基于
交替最小化(AM)的一个新的成本函数
对于未知的高分辨率(HR)图像和模糊。
-This paper presents, for the first time, a unified
blind method for multi-image super-resolution (MISR or SR),
single-image blur deconvolution (SIBD), and multi-image blur
deconvolution (MIBD) of low-resolution (LR) images degraded
by linear space-invariant (LSI) blur, aliasing, and additive white
Gaussian noise (AWGN). The proposed approach is based on
alternating minimization (AM) of a new cost function with
respect to the unknown high-resolution (HR) image and blurs.
交替最小化(AM)的一个新的成本函数
对于未知的高分辨率(HR)图像和模糊。
-This paper presents, for the first time, a unified
blind method for multi-image super-resolution (MISR or SR),
single-image blur deconvolution (SIBD), and multi-image blur
deconvolution (MIBD) of low-resolution (LR) images degraded
by linear space-invariant (LSI) blur, aliasing, and additive white
Gaussian noise (AWGN). The proposed approach is based on
alternating minimization (AM) of a new cost function with
respect to the unknown high-resolution (HR) image and blurs.
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Super resolution.pdf
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