Abstract: Volume visualization is to present inner structures of volumetric datasets effectively, so it has been widely applied in medical imaging, geological exploration, scientific computing and simulation and so on.High quality rendered inner structures of the volumetric dataset is very important to understand the volumetric dataset.To achieve this aim, traditional methods rely on high-resolution samples of the dataset and a good transfer function.In this paper, we summarize visualization methods based on feature enhanced, and we introduce volume illumination which can explore the spatial relationships of features of the volumetric dataset.Finally, we discuss future work of those research topics.