Subjects: Biology >> Biomedical Laboratory Science Subjects: Computer Science >> Computer Application Technology submitted time 2022-05-26
Abstract：
Up to now, image quality assessment does not involve color problem. The literature of image quality assessment mostly assesses the deterioration (degradation) of image quality (in the process of image processing such as compression and transmission). Planar image is a two-dimensional luminance distribution. Luminance is the core parameter of image visual quality. Without luminance, there will be no image, and it is impossible to discuss image quality. In this paper, three levels of image visual perception quality assessment (VPQA) are proposed, they are: single-and-single-parameter image quality assessment (SS-IQA), single-and-five-parameter fine image quality evaluation (SFF-IQA), and enhanced image quality assessment considering color fidelity (CF_IQA). Horizontally, it can be divided into three aspects: single image quality assessment, multiple image quality comparison and enhanced image quality assessment. Visual quality assessment of an image is an indispensable tool for intelligent optimization image enhancement.
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Computer Application Technology Subjects: Medicine, Pharmacy >> Other Disciplines of Medicine and Pharmacology Subjects: Engineering and technical science >> Optical Engineering submitted time 2021-05-24
Abstract： Human sense of stimulus quantity is divided into quantitative sense and qualitative sense. Whether it's Weber- Fechner's logarithm sensory law or Stevens's power function sensory law are both such a law that is about the quantitative relationship between sensory quantity and one-dimensional luminance stimulus. The image belongs to the stimulus with two-dimensional distribution characteristics of the luminance. It is studied in this paper that is the qualitative sense for two-dimensional luminance stimulus, that is, the sense of the good level or bad level of the quality of two-dimensional luminance stimulus are studied. Good level or bad level is a fuzzy psychological conception, so we need to use the method of fuzzy mathematics to quantify the good level or the bad level of the visual perception quality of an image, that is to establish a fuzzy membership function PQ to quantitatively represent the good level or the bad level of the visual quality of an image.
Peer Review Status:Awaiting Review
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