English

Related Work on Image Quality Assessment

Image and Video Processing 2022-04-14 v2 Computer Vision and Pattern Recognition

Abstract

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.

Keywords

Cite

@article{arxiv.2111.06291,
  title  = {Related Work on Image Quality Assessment},
  author = {Dongxu Wang},
  journal= {arXiv preprint arXiv:2111.06291},
  year   = {2022}
}

Comments

This is just my reading notes

R2 v1 2026-06-24T07:35:15.575Z