Image Fusion Based on Consistency Checking and Salience Match Measure

摘要

Image fusion is process of merging two or more images to get more informative image than any of the source image. Image fusion combines registered images to produce a high quality fused image with spatial and spectral information. In this paper we proposed image fusion based on multiresolution wavelet transform using consistency checking and salience match measure rule for low and high frequency bands fusion. Medical image fusion has been used to improve the information content in fused image. Medical images like computed tomography (CT) and magnetic resonance (MR) are fused to provide more information for diagnoses. This work covers medical and multi focus image fusion based on wavelet transform. In order to evaluate result statistical parameters like root mean square error (RMSE) and peak signal to noise ratio (PSNR) are used and results compared with other fusion methods.