Investigating High Dynamic Range (HDR) approaches in the literature, a new and adaptive HDR model is developed in this study. HDR is processed based on images taken as a Low Dynamic Range (LDR) scheme that ranges between low exposure and high exposure values. Here, main focus is to present and to interpret challenging scenes or cases without having information loss by extending intensity ranges of a camera. Images, converting to HDR from LDR actually have a good satisfaction with respect to the information content, yet they are subject to effect which may deteriorate their natural quality. With respect to end user view, still it is hard to say HDR images satisfy photo-realistic characteristics. In this study, it is focused on information gain without detriment natural characteristics of the picture and thus a new HDR algorithm was developed. Proposed HDR method was crosschecked with famous methods used in the literature with regard to both photo-realistic picture quality, usability and computational cost criteria. It was observed that proposed method preferable over so called traditional algorithms and located in the bunch of first three methods by applying poll with 30 test subjects.