Overview and research progress of no reference image quality evaluation methods

• Published in: Journal of physics. Conference series 2021-05, Vol.1914 (1), p.12035
• Main Authors: Wang, Hao Yue, Chen, XiangNing, Du, ShuHan, Xu, BiJie, Liu, Yan
• Format: Article
• Language: English
• Subjects: Classification; Image acquisition; Image compression; Image processing; Image quality; image quality evaluation criteria; Methods; no reference; Physics; Quality assessment; representative algorithm; Stimulation
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1914/1/012035

Image quality will greatly affect the acquisition of human visual information, but the image will inevitably cause a certain degree of distortion in the process of transmission, compression, coding and so on. At this time, the accuracy of image quality evaluation (IQA) is particularly important, which also makes IQA an important research direction in the field of image processing. IQA methods are divided into subjective image quality evaluation method and objective image quality evaluation method.there are many subjective evaluation methods, and the international telecommunications union (ITU) has also proposed many subjective evaluation methods and standards. there are three most commonly used methods, namely, the double stimulation continuous quality classification method, the single stimulation continuous quality classification method and the double stimulation damage classification method. Correspondingly, there are three kinds of objective evaluation methods, full reference, half reference and no reference. At present, this paper selects the research focus of IQA field-no reference image quality evaluation method as the main research object, summarizes the advantages and disadvantages of each non-reference evaluation method, and prospects the future development of the non-reference image quality evaluation method.