基于方向对比度和区域标准差的图像融合方法

提出了一种基于方向对比度和区域标准差最大化的多分辨率图像融合新方法。该方法先对参加融合的源图像进行小波多分辨率分解并定义方向对比度和区域标准差,然后采用基于方向对比度和区域标准差最大化的融合规则得到融合后图像的小波系数;最后通过逆小波变换得到融合图像。采用该方法得到的融合图像突出和增强了各源图像的对比度与细节信息。实验结果表明该方法是十分有效的。

A Image Fusion Method Based on Directional Contrast and Area-based Standard Deviation

A novel multi-resolution image fusion method based on maximum directional contrast and area-based standard deviation is presented. First the source images are performed by the multi-resolution wavelet decomposition, and the directional contrast and area-based standard deviation are defined. And then, the wavelet coefficients for the fused image can be obtained by means of the fusion rules based on maximum directional contrast and area-based standard deviation. Finally, the fused image is reconstructed by inverse wavelet transform. By this scheme, the contrast and details from each original image are emphasized and enhanced in the fused image. The experimental results show that the fusion algorithm is much effective.