Differential Histogram Equalization Based Image Simplification

Image simplification is an important pre-processing task in object segmentation and recognition. The histogram-based approach is the simplest way of image simplification. However, it is difficult to find a general rule of obtaining the proper threshold for all different cases. Recently, the research on image simplification using morphology seems to achieve a better performance. Nevertheless, the quality of simplification results relies on the selection of maskers obtained from complicated morphological operations. In this paper, we present a new perspective view based on differential histogram equalization (DHE) in image simplification. It is developed to not only generate better quality results, but possess lower computational complexity