No-Reference Image Quality Assessment Method Based on Visual Parameters

• 作 者: Yu-Hong Liu Kai-Fu Yang Hong-M
• 机 构: KeyLaboratoryforNeuroinformationofMinistryofEducation,DepartmentofBiomedicalEngineering
• 出 处: 电子科技学刊:英文版
• 发表日期: 2019年2期
• 关键词: BANDWIDTH human VISUAL system information entropy LUMINANCE NO-REFERENCE image Q
• 基金项目: the National Natural Science Foundation of China under Grants No. 61773094, No. 61573080, No. 91420105, and No. 61375115,National Program on Key Basic Research Project (973 Program) under Grant No. 20

Recent studies on no-reference image quality assessment (NR-IQA) methods usually learn to evaluate the image quality by regressing from human subjective scores of the training samples. This study presented an NR-IQA method based on the basic image visual