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散斑密度对单像素计算成像系统的影响分析

Influence of speckle density on single pixel computational imaging system

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【作者】 李靖胡海芝

【Author】 LI Jing;HU Haizhi;School of Computer Science and Technology,Zhoukou Normal University;

【机构】 周口师范学院计算机科学与技术学院

【摘要】 散斑统计特性对单像素成像系统的影响已有大量研究,但散斑密度对该系统的影响还未见报道。采用计算机仿真分别研究了1 bit和8 bits的场景图像。结果表明随着采样数的增加,图像复原质量变好。对1 bit场景图像,图像质量随着散斑密度的增加先变好后变差,即散斑密度处于中间值时获取的图像质量最好;对8 bits场景的图像,采样数较小时图像质量随着散斑密度的增加先变好后变差。当采样数变大时,图像质量随着散斑密度的增加先变差后变好。采样数越多可以获得质量越高的图像,但采样数的增加会降低单像素成像系统的效率。散斑密度的研究为克服这一缺点提供了很好的参考,具有一定的实际应用价值。

【Abstract】 There were a large number of studies about the influence of the speckle statistical characteristics on single pixel imaging system,but effect of speckle density on the system was not reported.The scene images of 1 bit and 8 bits were studied by computer simulation,and the results show that the quality of the recovered images will be better with increasing of sample number.In the case of 1 bit image,the quality of the recovered image will be good and then poor with increasing of speckle density,and the best image can be obtained in the middle value of speckle density.However,for 8 bits image,when the sample number of speckle is small,quality of the recovered image will be good and then poor with increasing of speckle density,and vice versa.The more speckles are employed,the better recovered image can be obtained.However,it can reduce efficiency of the single pixel imaging system.The research of speckle density provides a good reference to overcome this shortcoming,and has certain practical application value.

【基金】 河南省软科学研究项目,132400411365;河南省高等学校重点科研项目,15B520046;河南省科技公关计划项目,132102210575~~
  • 【文献出处】 量子电子学报 ,Chinese Journal of Quantum Electronics , 编辑部邮箱 ,2016年02期
  • 【分类号】TP391.41
  • 【被引频次】1
  • 【下载频次】116
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