In recent years, the High Dynamic Range (HDR) image has gained widespread popularity 1
across various domains such as security, multimedia, and biomedical fields, owing to its ability 2
to deliver an authentic visual experience. However, the extensive dynamic range and rich detail 3
in HDR images present challenges in assessing their quality. Therefore, current efforts involve 4
constructing subjective databases and proposing objective quality assessment metrics to achieve 5
efficient HDR Image Quality Assessment (IQA). Recognizing the absence of a systematic overview 6
of these approaches, this paper provides a comprehensive survey of existing HDR IQA methods. 7
Furthermore, this paper aims to serve as a valuable resource for researchers by discussing the 8
limitations of current methodologies and potential research directions in the future.