摘要
基于压缩感知理论,本研究针对于图像的小波分解系数的特点,提出了一种改进的小波稀疏表示的压缩感知图像融合算法。首先,本算法通过Mallat快速算法对图像进行稀疏分解;然后,利用绝对值最大融合规则对小波系数在压缩域进行融合;最后,使用最小全变分的方法重构融合图像。实验结果表明,该算法具有良好的融合效果。
According to the compressed sensing theory and the wavelet coefficients characteristics, this paper proposed an im- proved compressed sensing image fusion algorithm based on the wavelet sparse representation. Firstly, the Mallat algorithm was used to sparse represent the images. Then, the maximum absolute value fusion rule was adopted to fuse the wavelet coefficients in the compress domain. Finally, the minimum total variation algorithm was adopted to reconstruct images to get the fused image. The experiment results show that the algorithm in this paper has good fusion effect.
出处
《自动化与仪器仪表》
2013年第5期202-204,共3页
Automation & Instrumentation
基金
国家自然科学基金资助项目(60962004)
国家自然科学基金资助项目(61162016)
甘肃省科技攻关计划基金资助项目(0708GKCA047)
甘肃省青年科技基金计划资助项目(1107RJYA017)
兰州交通大学青年基金(2012003)
