基于离散Walsh-Hadamard变换和引导滤波的多聚焦图像融合

Multi-Focus Image Fusion Based on Discrete Walsh-Hadamard Transform and Guided Filtering

多聚焦图像融合作为一种有效的信息融合方法,在图像处理和计算机视觉领域引起了越来越多的关注。提出了一种基于离散Walsh-Hadamard变换(DWHT)和引导滤波的多聚焦图像融合算法。首先,提出了一种新的聚焦区域检测方法,该方法运用DWHT并计算L1范数得到初始决策图;然后,运用数学形态学方法和引导滤波优化生成最终决策图;最后,由像素加权平均规则和最终决策图得到融合图像。为验证所提算法的有效性,选择3组研究中普遍使用的多聚焦图像进行实验,并将该算法运用于实际应用中采集到的2组多聚焦序列图像,与其余几种算法相比,所提算法在主观定性分析和客观定量评价指标上均表现出明显的优势。实验结果表明,与其他多聚焦图像融合算法相比,所提算法能更有效地从源图像中提取聚焦区域,增强融合图像的细节保留能力和空间连续性。

As an efficient method of information fusion,multi-focus image fusion has attracted increasing interests in image processing and computer vision.A multi-focus image fusion algorithm based on discrete Walsh-Hadamard transform(DWHT)and guided filtering is proposed.First,a new focus region detection method is proposed,which uses DWHT and calculates L1 norm to obtain the initial decision map;then,the mathematical morphology method and guided filtering optimization are used to generate the final decision map;finally,the fused image is obtained by using the pixel-wise weighted-averaging rule and the final decision map.In order to verify the effectiveness of the proposed algorithm,three groups of multi-focus images commonly used in research are selected for experiments,and the proposed algorithm is applied to two groups of multi-focus sequence images collected in practical application,compared with other algorithms,the proposed algorithm shows obvious advantages in subjective qualitative analysis and objective quantitative evaluation indicators.Experimental results show that compared with other multi-focus image fusion algorithms,the proposed algorithm can extract the focus region from the source image more effectively,and enhance the detail retention ability and spatial continuity of the fused image.