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Gradient based ripple image quality assessment |
ZHAO Ju-feng, TAO Xiao-ping, FENG Hua-jun, XU Zhi-hai, LI Qi |
State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China |
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Abstract Three methods were proposed based on blind iterative image restoration to evaluate the ripple: the gradientbased ripple assessment, ripple assessment with detecting the edge contour and with calculating an average width of the edge. A novel gradientbased ripple assessment approach was presented. The approach computed the gradient information within a centrosymmetry Gaussian weighted window, which moved pixelbypixel over the entire image. Then the information of corresponding image lumpy at all pixels was got, and an image was mapped to describe the degraded image. The average of the degraded image was adopted as the metric of image quality. The experiment of the three assessment methods shows that the gradient method can better determine the number of iteration and get restored images with better quality.
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Published: 19 March 2012
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基于梯度的波纹图像质量评价
基于图像盲迭代复原,提出基于梯度的波纹评价方式、边缘轮廓变化评价波纹、平均边缘宽度评价波纹3种评价波纹的方法,得到一种新的基于梯度的波纹评价方式.此方法通过一个中心对称高斯加权窗在图像上逐点计算以该点为中心的邻域图像块的梯度相关信息;计算得到各点对应图像块的梯度信息并映射得到一幅图像来描述降质图像的降质信息,采用这幅降质信息图像的平均值作为整体图像质量的评价测度.对这3种图像质量评价方式进行实验发现,基于梯度评价方法可以很好地确定盲迭代的次数,从而得到相对质量较高的复原图像.
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[1] RAFAEL C G. Digital image processing [M]. 2版. 北京:电子工业出版社,2007: 167172.
[2] 江铭炎.基于小波变换的图像振铃效应去除方法[J].山东大学学报:自然科学版,2002,37(1): 5860.
JIANG Mingyan. Using dyadic wavelets to reduce the ringing artifacts[J]. Journal of Shandong University:Nature Science, 2002, 37(1): 5860.
[3] LI Dalong, STEVEN S, RUSSEL M M. Blind image deconvolution using constrained variance maximization[C] ∥ Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers. [S.l.]: IEEE, 2004: 17621765.
[4] 张航,罗大庸. 图像盲复原算法研究现状及其展望[J].中国图像图形学报,2004,9(10): 11451150.
ZHANG Hang, LUO Dayong. Status and development of study on blind image restoration algorithm[J]. Journal of Image and Graphics, 2004, 9(10): 11451150.
[5] AYERS G R, DAINTY J C. Iterative blind deconvolution method and its applications[J]. Optics Letters, 1988, 13(7): 547549.
[6] 于大勇,袁祥岩,高万荣.频域迭代盲解卷积图像恢复方法及其算法实现[J].中国激光,2002,29(12): 11011104.
YU Dayong, YUAN Xiangyan, GAO Wanrong. A method for image restoration with iterative blind deconvolution in frequency domain[J]. Chinese Journal of Lasers, 2002, 29(12): 11011104.
[7] BALASUBRAMANIAN M, IYENGARL S S, REYNAUD J. A ringing metric to evaluate the quality of images restored using iterative deconvolution algorithms[C] ∥Proceedings of the 18th International Conference on Systems Engineering. Las Vegas, Nevada: [s.n.], 2005: 23592364.
[8] WANG Zhou, BOVIK A C, SHEIKH H R. Image quality assessment: from error visibility to structural similarity [J]. IEEE Transactions on Image Processing, 2004, 13(4): 600612.
[9] WANG Zhou, BOVIK A C. A universal image quality index [J]. IEEE Signal Processing Letters, 2002, 9(3): 8184. |
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