An efficient multi transform based fusion for multi focus images

Abstract

Image fusion is the process of integrating multiple source images of the same scene into a single image, retaining the important and salient features from each image. The resultant fused image provides a more accurate description than any of the individual source images. In this paper a novel multi focus image fusion method is presented by combining Discrete Wavelet Transform and Stationary Wavelet Transform. The source images are decomposed using wavelet transforms and the coefficients are fused according to the fusion rule. An informative fused image is obtained by performing the inverse wavelet transforms to the fused coefficients. The proposed framework is evaluated by employing parameters such as RMSE, PSNR, SF and Entropy. The simulation results demonstrate both quantitatively and subjectively that the proposed fusion approach is effective and can provide better performance in fusing multi-focus images than other conventional state of art single transform methods in the literature.