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工程科学与技术:2013,45(Z1):84-89
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基于刃边法的序列图像盲超分辨率重建算法
(四川大学电子信息学院)
The Image Sequence Blind Super-resolution Algorithm
(SiChuan University)
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投稿时间:2012-11-14    修订日期:2013-02-26
中文摘要: 为了减少点扩展函数(PSF)估计误差对盲超分辨率重建结果的影响,本文提出了一种新的序列图像盲超分辨率重建算法。首先采用刃边法实现对成像系统点扩展函数的准确估计,然后将估计的点扩展函数引入迭代反投影超分辨率重建算法中,进行高分辨率图像的重建。实验结果表明,本文算法运算时间较短,不受限于低分辨率图像的模糊程度,重建结果不但具有较高的峰值信噪比(PSNR)和结构相似度(SSIM),而且真实分辨率的提升幅度更大。
Abstract:In this paper, a new image sequences blind super-resolution algorithm was proposed to reduce the influence on super-resolution construction caused by point spread function estimation error. First, we use slanted-edge method to achieve an accurate estimate of the image system’s point spread function, then combined the point spread function with the iterative back projection super-resolution construction algorithm to finish the super-resolution construction. Experimental results indicate that the proposed method needs shorter operation time and doesn’t limited by the blur degree of the low resolution image. The construction result is of higher peak signal to noise ratio (PSNR) and structure similarity (SSIM) and lager extent of the image’s true resolution.
文章编号:201200897     中图分类号:    文献标志码:
基金项目:国家自然科学基金
Author NameAffiliationE-mail
Zhang Xiao-Lin  302949827@qq.com 
He Xiao-Hai SiChuan University hxh@scu.edu.cn 
   
   
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引用文本:
张晓林,何小海,李滔,梁子飞.基于刃边法的序列图像盲超分辨率重建算法[J].工程科学与技术,2013,45(Z1):84-89.
Zhang Xiao-Lin,He Xiao-Hai.The Image Sequence Blind Super-resolution Algorithm[J].Advanced Engineering Sciences,2013,45(Z1):84-89.