Related Work on Image Quality Assessment [article]

Dongxu Wang
2022 arXiv   pre-print
Due to the existence of quality degradations introduced in various stages of visual signal acquisition, compression, transmission and display, image quality assessment (IQA) plays a vital role in image-based applications. According to whether the reference image is complete and available, image quality evaluation can be divided into three categories: Full-Reference(FR), Reduced- Reference(RR), and Non- Reference(NR). This article will review the state-of-the-art image quality assessment algorithms.
arXiv:2111.06291v2 fatcat:bcmfvfz2x5e4jitgzxj5t3fqyy