Acta Optica Sinica, Volume. 37, Issue 3, 333001(2017)

Evaluation of the Effect on Eye Aberration on Retinal Imaging Quality Based on the Root Mean Square Error and Correlation Coefficient

Yang Yanrong1,2,3、* and Dai Yun1,3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    The decline in the quality of retinal imaging will reduce the visual acuity and other visual function, which directly affects people′s daily lives. Human eye aberration is the main factor affecting the image quality. In order to improve the retinal image quality, the adaptive optics is commonly used to correct the aberrations of the human eye. Thus, the resolution or ideal image quality which is close to the diffraction limit is obtained. But the process of correcting the wavefront aberration needs to evaluate the system resolution or the image quality as a basis. Mostly, the evaluation methods can be divided into two types which are based on the pupil plane and imaging plane. Although these two methods can mainly represent the resolving power of imaging system, they cannot directly and quantitatively evaluate the image quality. The optical transfer function (OTF) method based on the imaging plane needs the aid of the curve area to quantitatively evaluate the image quality. And the image quality of different spatial frequencies is different. Thus, the OTF of one eye aberration is calculated, which can simulate the process of human eye imaging. It is used to directly characterize the change of image quality. And the root mean square error and correlation coefficient are defined to analyze the influence of the aberration on them, which can quantitatively reflect the changes of the image quality before and after correcting each aberration.

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    Yang Yanrong, Dai Yun. Evaluation of the Effect on Eye Aberration on Retinal Imaging Quality Based on the Root Mean Square Error and Correlation Coefficient[J]. Acta Optica Sinica, 2017, 37(3): 333001

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    Paper Information

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    Received: Sep. 5, 2016

    Accepted: --

    Published Online: Mar. 8, 2017

    The Author Email: Yanrong Yang (yangyy0429@126.com)

    DOI:10.3788/aos201737.0333001

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