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题名:
Assess Image Blur in Photoelectric Imaging System
作者: Xiaofu Xie; Jin Zhou; Qinzhang Wu
出版日期: 2010
会议名称: Proceedings of the SPIE - The International Society for Optical Engineering
会议日期: 2010
通讯作者: Xiaofu Xie
中文摘要: The difficulty for no-reference image quality assessment is the lack of the information of the reference image. With the analysis of the mathematical model of the photoelectric imaging system and the reason for image blur, a method is proposed for constructing reference images, and at the same time the Structural Similarity index is introduced into no-reference image quality assessment. A novel no-reference image quality assessment index called No-Reference Structural Sharpness is then proposed for quality evaluation of blurred images. This method constructs a reference image by a low-pass filter, and assesses the image quality by computing the structural similarity index between the original image and the reference one, thus considering the mathematical model of imaging system as well as the advantages of Structural Similarity index. The experimental results show that the new index is well in accordance with quality assessment results of both subjective evaluation and full-reference methods.
英文摘要: The difficulty for no-reference image quality assessment is the lack of the information of the reference image. With the analysis of the mathematical model of the photoelectric imaging system and the reason for image blur, a method is proposed for constructing reference images, and at the same time the Structural Similarity index is introduced into no-reference image quality assessment. A novel no-reference image quality assessment index called No-Reference Structural Sharpness is then proposed for quality evaluation of blurred images. This method constructs a reference image by a low-pass filter, and assesses the image quality by computing the structural similarity index between the original image and the reference one, thus considering the mathematical model of imaging system as well as the advantages of Structural Similarity index. The experimental results show that the new index is well in accordance with quality assessment results of both subjective evaluation and full-reference methods.
收录类别: Ei ; ISTP
语种: 英语
卷号: 7658
文章类型: 会议论文
页码: 765803 (6 pp.)
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7523
Appears in Collections:光电探测技术研究室(三室)_会议论文

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作者单位: 中国科学院光电技术研究所

Recommended Citation:
Xiaofu Xie,Jin Zhou,Qinzhang Wu. Assess Image Blur in Photoelectric Imaging System[C]. 见:Proceedings of the SPIE - The International Society for Optical Engineering. 2010.
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