An improved multi-focus image fusion method based on wavelet transform

An improved multi-focus image fusion method based on wavelet transform is proposed. Firstly, multi-scale decomposition is performed on source images using wavelet transform to get high-frequency and low-frequency sub-images. And then, a method based on neighboring region variance weighted-average is applied to high-frequency sub-image to get the high-frequency fusion coefficient; and a method based on local region gradient information is applied to low-frequency sub-image to get the low-frequency fusion coefficient. Finally, the inverse wavelet transform is utilized to obtain fused image. The fused image by the proposed method is evaluated with some parameters such as root mean square error, peak signal noise rate and entropy, in comparison with traditional fusion methods. The experiment results show that the proposed method is effective on improving the effect and quality of fused image.