基于小波变换的图像融合算法及性能评价

Image Fusion Algorithm and Performance Evaluation Based on Wavelet Transform

在阐述小波图像融合算法的基础上,针对小波分解后各频域融合算子和融合规则的选择,提出一种新的基于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。对多组图像进行实验,实验结果表明,该方法是有效的。

Expounding the wavelet image fusion algorithm, as to frequency domain fusion operators and fusion rules of choice of wavelet decomposition, a new dynarn,ical reconfigurable image fusion algorithm based on FPGA was proposed. The decomposed low frequency sub-band is fused by mean operator, and the high frequency sub-bands use a new adaptive method which consid- ered the tree characteristic of wavelet coefficients~ Finally, the fusion image date is obtained by taking the inverse wavelet transform. The core of the algorithm was integrated into a FPGA, improved the real-time of algorithm and reduced the system actual consumption. So it reduced fusion image distortion effectively. For multigroup image experiment, the experimental re- suits show that the method is effective.