A Novel Region based Image Fusion Method using Highboost Filtering and Fuzzy Logic

This paper proposes a novel region based image fusion scheme based on high boost filtering concept using discrete wavelet transform. In the recent literature, region based image fusion methods show better performance than pixel based image fusion method. Proposed method is a novel idea which uses high boost filtering concept to get an accurate segmentation using discrete wavelet transform. This concept is used to extract regions form input registered source images which is than compared with different fusion rules. The fusion rule based on spatial frequency and standard deviation is also proposed to fuse multimodality images. The different fusion rules are applied on various categories of input source images and resultant fused image is generated. Proposed method is applied on registered images of multifocus and multimodality images and results are compared using standard reference based and non-reference based image fusion parameters. It has been observed from simulation results that our proposed algorithm is consistent and preserves more information compared to earlier reported pixel based and region based methods