自适应双量子比特态中值滤波方法

修春波; 牛莹

doi:10.3788/OPE.20162413.0701

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自适应双量子比特态中值滤波方法

更新时间：2020-08-13

- 自适应双量子比特态中值滤波方法
- Adaptive dual qubit state median filtering method
- 光学精密工程 2016年24卷第10s期页码：701-709
- 作者机构：
  
  1. 天津工业大学电气工程与自动化学院天津,300387
  2. 天津工业大学电工电能新技术天津市重点实验室天津,300387
- 作者简介：
- 基金信息：
  
  天津市应用基础与前沿技术研究计划项目（14JCYBJC18900）();国家自然科学基金项目（No.61203302）()
- DOI：10.3788/OPE.20162413.0701
  中图分类号： TP394.1
- 收稿日期：2016-05-19，
  
  修回日期：2016-06-05，
  
  纸质出版日期：2016-11-14
- 稿件说明：
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修春波, 牛莹,. 自适应双量子比特态中值滤波方法[J]. 光学精密工程, 2016,24(10s): 701-709

XIU Chun-bo, NIU Ying,. Adaptive dual qubit state median filtering method[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 701-709
修春波, 牛莹,. 自适应双量子比特态中值滤波方法[J]. 光学精密工程, 2016,24(10s): 701-709 DOI： 10.3788/OPE.20162413.0701.

XIU Chun-bo, NIU Ying,. Adaptive dual qubit state median filtering method[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 701-709 DOI： 10.3788/OPE.20162413.0701.

摘要

针对量子中值滤波方法对图像光照变化等干扰缺少适应能力的缺点，提出一种改进的自适应双量子中值滤波方法。根据图像像素灰度分布信息确定图像像素分布概率，选择分段归一化后的分布概率函数作为量子比特态的概率函数，提高了滤波方法对光照变化等干扰的适应能力，改善了滤波性能。将滤波方法分别对正常光照、低光照及高光照3种情况下的图像进行滤波分析，仿真实验结果表明，与现有中值滤波方法相比，改进方法具有更好的椒盐噪声滤波能力，峰值信噪比、规一化均方误差、图像相似度等评价指标均优于现有方法。当图像中含有50%椒盐噪声时，与现有中值滤波方法相比，本文方法的峰值信噪比可分别提高2.13%、2.71%、3.22%，图像相似度可提高1.52%、1.82%、2.08%，规一化均方误差可降低11.85%、15.70%、15.65%。

Abstract

In order to improve the adaptive ability of the quantum median filtering method to the illumination variations

a novel median filtering method based on the dual qubit state is proposed. The distribution probability of the pixels in the image is determined according to the grayscale distribution information. And the normalized distribution probability is determined as the probability function of the quantum bit states. In this way

the filtering method has good adaptive ability to the illumination variations

and the filtering performance can be improved. The method is used to filter noise in the images under the normal

low and high illumination. Simulation results show that the method can get better filtering result to the salt and pepper noise than the other median filtering methods

and the method is also superior to others on some objective evaluation criteria

such as the peak signal to noise ratio

the normalized mean square error

and the structural similarity. For the images with 50% noise

the peak signal to noise ratio of the method can be enhanced by 2.13%

2.71% and 3.22%

the structural similarity can be enhanced by 1.52%

1.82%

2.08%

and the normalized mean square error can be reduced by 11.85%

15.70%

and 15.65%.

关键词

Keywords

references

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