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。
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.
出处
《电子测量与仪器学报》
CSCD
北大核心
2017年第11期1796-1801,共6页
Journal of Electronic Measurement and Instrumentation
基金
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(PPZY2015B134)资助
关键词
萤火虫优化算法
DNA编码
二维盲均衡算法
常模算法
图像盲恢复算法
glowworm swarm optimization algorithm
DNA coding
2D blind equalization algorithm
constant modulus algorithm
blind image restoration algorithm
