Significant advancements have been achieved in modern computational photography techniques to address the constraints associated with ordinary digital cameras while capturing scenarios where you can move around a lot. One such technique is High Dynamic Range (HDR) photography. Capturing all the intricate features of real sceneries in a single photograph poses a significant challenge due to the limited range of motion of typically employed picture recorders. In order to mitigate this issue, it is possible to employ a compilation of photographs taken under varying illumination circumstances to record the event. Subsequently, using the process of photo fusion, these photographs can be merged into a cohesive and informative image. MEF is a technique employed in the field of fusion of images, wherein multiple photographs of a given situation, each taken with different illumination options, are combined. The recent attention of MEF approaches can be attributed to the significance of producing high-dynamic variety images. In accordance with prior research, it has been shown that the multi scale structural patch decomposition-based MEF (MSPDMEF) technique offers superior fusion quality and faster processing time. However, a limitation of this approach is the potential loss of fine details of order to tackle this concern, we initially integrate edge preserving elements into our methodology to maintain the intricate characteristics of the amalgamated images within a singular framework.