摘要
为了提升压缩感知图像的重构精度,该文提出一种伪逆自适应压缩感知重构算法。该算法在总结已有贪婪算法的基础上,从最优原子的选择方式和支撑集更新过程两方面对已有算法进行改进。将算法应用于基于压缩感知原理的图像融合框架,实验结果表明,改进算法的重构图像质量优于基本贪婪类算法,应用于图像融合时可在较短的时间内得到更好的融合结果。
In order to reconstruct images more accurate in compressed sensing,the pseudo-inverse adaptive matching pursuit（ PIAMP） reconstruction algorithm is put forward based on the existing greed algorithms. The algorithm modifies the existing algorithm from the selection method and support set updating process of the optimal atom. The algorithm is applied in the image fusion of the compressed sensing. The experimental results show that,the reconstruction effect resulting from PIAMP is better than that of other basic greed algorithms,and a good fusion result can be obtained in shorter time.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2014年第2期259-263,共5页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(60802084)
西北工业大学基础研究基金(JC20110266)
关键词
压缩感知
伪逆自适应算法
贪婪算法
图像融合
compressed sensing
pseudo-inverse adaptive matching pursuit algorithm
greedy algorithm
image fusion
