首页 > 过刊浏览>2017年第31卷第11期 >1796-1801. DOI:10.13382/j.jemi.2017.11.015
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基于新型DNA遗传萤火虫优化的二维图像盲恢复算法研究
作者:
作者单位:

1.南京信息工程大学 江苏省气象探测与信息处理重点实验室南京210044;2.江苏省大气环境与装备技术协同创新中心南京210044

中图分类号:

TN911.7

基金项目:

国家自然科学基金（61673222）、江苏省高校自然科学研究重大项目(13KJA510001)、 江苏省高校品牌专业建设项目(PPZY2015 B134)资助


Research of 2D image blind restoration algorithm based on novel DNA genetic glowworm swarm optimization
Author:
Affiliation:

1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing 210044,China;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China

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    摘要:

    针对现有图像恢复算法的不足，提出了基于新型DNA遗传萤火虫优化的二维图像盲恢复算法。该算法首先对传统DNA遗传算法中交叉和变异操作进行改进，得到新型DNA遗传算法后与萤火虫算法相结合，提出了新型DNA遗传萤火虫优化算法;其次将新型DNA遗传萤火虫优化算法应用于二维图像盲恢复，得到的基于新型DNA遗传萤火虫优化的二维图像盲恢复算法具有良好全局搜索能力，优化了盲均衡器的初始权矩阵，模糊图像经过二维盲均衡器处理后，有效增强了图像质量，图像恢复良好。仿真结果验证了算法的有效性。

    Abstract:

    Aiming at the shortcomings of the existing image restoration algorithms, a 2D blind restoration algorithm based on novel DNA genetic glowworm swarm optimization is proposed. Firstly, the proposed algorithm improves the crossover and mutation operation in the traditional DNA genetic algorithm, and then combines the novel DNA genetic algorithm with the glowworm swarm optimization algorithm to propose a new DNA genetic glowworm swarm optimization algorithm. Secondly, the new DNA genetic glowworm swarm optimization algorithm is applied to the 2D image blind restoration, and a blind restoration algorithm based on the new DNA glowworm swarm optimization is obtained. The proposed algorithm has a good global search capability, which optimizes the initial weight matrix of the blind equalizer. After the fuzzy image is processed by the 2D blind equalizer, the image quality is improved and the image recovery is good. The simulation results verify the effectiveness of the proposed algorithm.

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郭业才,陆璐,李晨.基于新型DNA遗传萤火虫优化的二维图像盲恢复算法研究[J].电子测量与仪器学报,2017,31(11):1796-1801

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