Construction of a novel IQA Function and Applications
B. Zhang, Yongfu Li, Ting Huang, X.F. Lv, Zixing Xie · Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) · 2013
The current image quality methods can only be able to assess quality degradation and can not be able to assess quality improvement after an image passing through a system.Here proposes a novel image quality assessment function (IQAF) based on the long term experiences.The IQAF is able to assess quality degradation as well as quality improvement after an image passing through a system.The IQAF can be able to assess single image quality as well as to compare multiple images quality.The IQAF is constructed by five visual quality parameters including averaging information entropy (AIE), averaging physical contrast level (APCL), normalized neighborhood function (NNF), average hierarchy factor (AHF) and average bandwidth factor(ABWF).The examples of IQAF applications were demonstrated finally. Keywords-image quality assessment function (IQAF)