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图像质量快速盲检测及其在视觉系统中的应用 被引量：1

An efficient blind blur measurement for vision-based applications
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摘要 提出了一种新的图像质量快速盲检测方法,以锐利度作为图像质量准则,而锐利度可以归结为图像的模糊特性,并由边缘信息估计得到。为了提高系统效率,采用边缘对比度的估计方法,并以边缘对比度作为边缘锐利度的判据准则。分析了邻近边缘的相互影响,因而只需从有限的边缘点来提取出合理的线扩展函数(LSF),进而得到模糊参数。在LSF计算中,采用一种新的插值计算方法。实验结果表明:当图像不是特别模糊时,测量结果是准确的。 A new metric for image quality assessment is presented in terms of image sharpness while the sharpness is considered as characteristics of blurring.The blur parameter is estimated using edge information.To improve the system efficiency,a criterion for edge sharpness is employed and only the sharpest edge is selected for the extraction of line spread function（LSF）.The effect of nearby edges on edge feature and LSF is analyzed and a space constrain is put forward to select appropriate LSFs.A new method for pixel interpolation is presented in LSF computation.The experimental results demonstrate that the proposed method is accurate when the blur is not serious.
作者 伍世虔 谢志华 方志军
机构地区 江西财经大学信息管理学院 江西科技师范学院光电子与通信重点实验室
出处 《光电子．激光》 EI CAS CSCD 北大核心 2010年第2期279-284,共6页 Journal of Optoelectronics·Laser
基金 国家自然科学基金资助项目(60665001 10701040) 江西省教育厅科技资助项目(GJJD9296)
关键词 盲图像质量评价 边缘锐利度 线扩展函数(LSF) 模糊模型 边缘检测 blind image quality evaluation edge sharpness line spread function（LSF） blur model edgedetection
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献12

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二级参考文献12

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共引文献24

同被引文献18

  • 1SHEN Ji, LI Qin, Erlebacher Gordon. Hybrid no-reference Natural image quality assessment of noisy, blurry, JPEG2000,and JPEG images[J]. IEEE Transactions on Image Processing, 2011,20(8):2089-2098.
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二级引证文献7

光电子．激光
2010年 第2期

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