Study on the Improvement of Image Fusion Algorithm Based on Lifting Wavelet Transform

An improved algorithm is Proposed for image fusion based on lifting wavelet transform in the paper. According to the characteristics of lifting wavelet decomposition of the low and high frequency components of the respective, different fusion rules are adopted, namely low frequency coefficient selection method and the weighted average method, choosing the high frequency coefficient, the variance of wavelet coefficients and the absolute value of the wavelet coefficients are considered synthetically decision fusion. The experimental results show that, when we take the average gradient, the information entropy, the standard deviation, root mean square error and peak signal to noise ratio as the objective evaluation criteria of image fusion, image fusion algorithm has better fusion effect than Laplasse Pyramid fusion image and the traditional wavelet transform; it improves the accuracy of image fusion effectly.