A Study on Novel Optimization Wavelet Transform for Multi-Focus Image Fusion
A multi-focus image fusion method based on novel optimization wavelet transform is proposed to improve the visual effect of image fusion.Two original fusion images A/B are decomposed into low-frequency/high-frequency components according to the wavelet transform,and the decomposed low-frequency/high-frequency components are calculated by using the improved fusion rules of low-frequency/high-frequency components,respectively.Based on this,the fusion information of the low-frequency/high-frequency component is replaced with clear image information.At the same time,the effect of the fusion image is analyzed by the fusion evaluation indicators.The experimental results show that the proposed method can effectively improve the fusion effect of the image.