A Novel Framework for Image Fusion Based on Improved Pal-King’s Algorithm and Transform Domain Techniques

In image fusion literature, transform domain fusion is one of the popular techniques for efficient image fusion. Although transform domain techniques are computationally heavy, it has been evident through rigorous experimentation that in most of the cases, they are superior to spatial domain methods. Medical images contain very minute edges that have poorer resolution in spatial domain. If such edges are directly subjected to transform domain techniques, the quality of resultant fused image may be affected. To address this problem, a novel approach that utilizes improved Pal-King’s algorithm for spatial domain enhancement along with subsequent transform domain fusion has been presented in this paper. The results indicate that proposed approach yields superior results than conventional transform domain techniques.