摘要
提出一种基于FPGA动态可重构的图像融合算法。该方法对小波分解后的图像低频子带采用平均融合算子处理,在高频子带的融合中依据小波系数树状结构特点,提出了一种新的自适应融合方法,最后经过小波逆变换得到融合图像。核心算法集成到一片FPGA中实现,提高算法的实时性,降低系统的实际功耗,有效地减少融合图像的失真。
An image fusion algorithm present is presented based on dynamically reconfigurable FPGA. The decomposed low frequency sub-band is fused by mean operator, and the high frequency sub -bands use a new adaptive method which considered the tree characteristic of wavelet coefficients. Finally, the fusion image date is obtained by taking the inverse wavelet transform real-time algorithm, reducing the actual power Core algorithm integrated into an FPGA implementation, improve consumption, effectively reduce the integration of image distortion
出处
《科学技术与工程》
2009年第17期5200-5204,共5页
Science Technology and Engineering
基金
"863"计划项目(2007AA012104)
国家自然科学基金(60673061)
湖南省教育厅高校科研计划项目(07C166)资助