Construction of a novel IQA Function and Applications
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 (A/E),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.
image quality assessment function (IQAF) average information entropy (ALE) average physical contrast level (APCL) normalized neighborhood function (NNF) average hierarchy factor (AHF) averaging bandwidth factor (ABWF)
B.Zhang Y.Li T.T.Huang X.F.Lv Z.X.Xie
Dept.of Computer of Chongqing Industry Polytechnic College Chongqing,China College of Automatics of Chongqing University of Posts and Telecommulications Chongqing,China Dept of Biomedical engineering of Chongqing Medical University Chongqing,China
国际会议
杭州
英文
1050-1053
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）