High dynamic range (HDR) photography is one example of how contemporary computational photography techniques have significantly advanced beyond the constraints of traditional digital cameras in handling situations with a wide scope of motion. It is difficult to capture all the nuances of real scenes in a single photograph because to the confined motion scope of commonly used image recorders. To decrease this issue, it may be possible to capture the scene using a collection of images taken at various exposure levels, which may then be combined via image fusion to create a useable image. A category of image fusion technique called multi-exposure image fusion, or MEF, combines a number of photographs of the same scene that were captured using various exposure settings. Recently, MEF methods have attracted a lot of attention because it is crucial to produce high dynamic range images. A recent study found that multi-scale structural patch decomposition-based MEF (MSPD-MEF), although losing detail, offers the best fusion quality and shortest runtime. In order to keep the fine features in the fused images in a particular course, we first incorporate edge-preserving components into our technique to look into this issue.