| 基于分数阶微分的图像质量评价 |
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| 引用本文： | 郑江云.基于分数阶微分的图像质量评价[J].安庆师范学院学报(自然科学版),2012,18(3):31-33. |
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| 作者姓名： | 郑江云 |
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| 作者单位： | 安庆师范学院物理与电气工程学院,安徽安庆,246133 |
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| 基金项目： | 安徽高等学校省级自然科学研究项目(KJ2009B123)资助 |
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| 摘 要： | 基于感觉容量的图像质量评价算法(SC)计算简单、性能良好。它的图像细节用拉普拉斯变换系数表示,但拉普拉斯变换对噪声敏感,而分数阶微分可以提升信号中高频成分,且对噪声不敏感。文中提出了一种基于分数阶微分(FDSC)的图像质量评价方法,该方法将分数阶微分取代SC模型中的拉普拉斯变换。实验结果表明,FDSC模型与LIVE图库上差异主观评价分(DMOS)的线性相关性优于PSNR、SC和结构相似度算法。
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| 关 键 词： | 图像质量评价 分数阶微分 微分阶数 小波变换 感觉容量 |
Image Quality Assessment Based on Fractional Differentials |
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| ZHENG Jiang-yun.Image Quality Assessment Based on Fractional Differentials[J].Journal of Anqing Teachers College(Natural Science Edition),2012,18(3):31-33. |
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| Authors: | ZHENG Jiang-yun |
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| Institution: | ZHENG Jiang-yun(School of Physics and Electronic Engineering,Anqing Teachers College,Anqing,Anhui 246133,China) |
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| Abstract: | Image quality assessment based on sense capacity is of simple and good performance.Detail of image is defined by Laplacian transformation coefficient which is sensitive to noise while fractional differentials can increase medium frequency and high frequency of signals and isn’t sensitive to noise.The thesis puts forward a new quality assessment algorithm based on fractional differential.The new method is validated with subjective quality scores on LIVE database.Experimental results show that the linear correlation coefficient between subjective and objective scores of the new method is superior to the algorithms of PSNR、SC and SSIM. |
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| Keywords: | image quality assessment fractional differential differential order wavelet transform sense capacity |
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