Assess Image Blur in Photoelectric Imaging System
文献类型：会议论文
| 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 |
| 卷号 | 7658 |
| 页码 | 765803 (6 pp.) |
| 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 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/7523]  |
| 专题 | 光电技术研究所_光电探测技术研究室（三室） |
| 作者单位 | 中国科学院光电技术研究所 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：光电技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。