基于对比度敏感度的无参考图像清晰度评价

范媛媛; 沈湘衡; 桑英军

doi:10.3788/OPE.20111910.2485

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基于对比度敏感度的无参考图像清晰度评价

信息科学 | 更新时间：2020-08-12

- 基于对比度敏感度的无参考图像清晰度评价
- No reference image sharpness assessment based on contrast sensitivity
- 光学精密工程 2011年19卷第10期页码：2485-2493
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院研究生院北京,100039
  3. 淮阴工学院,江苏淮安,223003
- 作者简介：
- 基金信息：
  
  国家863高技术研究发展计划资助项目(No.2008AA7034320B)()
- DOI：10.3788/OPE.20111910.2485
  中图分类号： TP391.41
- 收稿日期：2011-01-07，
  
  修回日期：2011-02-19，
  
  网络出版日期：2011-10-27，
  
  纸质出版日期：2011-10-25
- 稿件说明：
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范媛媛, 沈湘衡, 桑英军. 基于对比度敏感度的无参考图像清晰度评价[J]. 光学精密工程, 2011,19(10): 2485-2493

FAN Yuan-yuan, SHEN Xiang-heng, SANG Ying-jun. No reference image sharpness assessment based on contrast sensitivity[J]. Editorial Office of Optics and Precision Engineering, 2011,19(10): 2485-2493
范媛媛, 沈湘衡, 桑英军. 基于对比度敏感度的无参考图像清晰度评价[J]. 光学精密工程, 2011,19(10): 2485-2493 DOI： 10.3788/OPE.20111910.2485.

FAN Yuan-yuan, SHEN Xiang-heng, SANG Ying-jun. No reference image sharpness assessment based on contrast sensitivity[J]. Editorial Office of Optics and Precision Engineering, 2011,19(10): 2485-2493 DOI： 10.3788/OPE.20111910.2485.

摘要

提出一种基于对比度敏感度的无参考图像清晰度评价方法

用于评价光测设备无参考电视图像的清晰度。首先通过低通滤波器构造原始图像的参考图像

并对两者进行离散余弦变换(DCT)

其次将变换后的中频系数和高频系数各分为高低两档后进行离散余弦反变换处理得到各自子图像

然后计算相应子图像的结构相似度SSIM

最后将各子图像结构相似度加权求和得到图像的清晰度;为体现对比度敏感度函数(CSF)特性

权值设为该频带内所有频率系数绝对值的均值。对145幅高斯模糊图像的评价结果显示

Abstract

A no reference image sharpness assessment method based on the property of Contrast Sensitivity Function(CSF) was proposed to realize the sharpness assessment of optical measurement equipment without reference television images. Firstly

a reference image for an original was constructed by a low-pass filter and both images were performed the Discrete Cosine Transform(DCT)

and intermediate frequency coefficients and high frequency coefficients are divided into two parts respectively to be performed the Inverse DCT(IDCT) to obtain sub-images. Then

the Structural Similarity(SSIM) of corresponding sub-images was calculated. Finally

the image sharpness is obtained through the weighted sum of sub-image structural similarities. The experiment results show that the proposed method can obtain the Pearson Correlation Coefficient(CC) in 0.915 2

Spearman Rank Order Correlation Coefficient CC(SROCC) in 0.907 9 and out Rate (OR) in 0.034 5

which shows very high accuracy

monotonicity and consistency for the Gaussian blur image. The smallest defocus image can be quickly and accurately identified in the sequence defocus images and the effect is better than those of other four traditional focus evaluation functions. For different types of television blur images

the assessment results is more accord with human visual characteristics. It can be applied to optical measurement equipment television system and give accurate and reliable sharpness assessment of no reference television image.

关键词

Keywords

references

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