Analysis and Design of No-Reference Image Quality Assessment

Author

Tian, Yuan ; Zhu, Ming ; Wang, Ligong

Author_Institution

Changchun Inst. of Opt., Chinese Acad. of Sci. Changchun, Changchun

fYear

2008

fDate

30-31 Dec. 2008

Firstpage

349

Lastpage

352

Abstract

No-reference (NR) image quality assessment (IQA) seeks to assign quality scores that are consistent with human perception but without an explicit comparison with the reference image. Unfortunately, the field of NR IQA has been largely unexplored. The basic problems in NR IQA are discussed in this paper. And several methods used in NR IQA are explained and analyzed. Finally, an overall NR IQA method is designed. It should be a synthetical index, which applying fuzzy measures and fuzzy integrals, incorporating human vision system (HVS) characteristics and adhering to the philosophy of quantifying quality through blind distortion measurement.

Keywords

fuzzy set theory; image processing; blind distortion measurement; fuzzy integrals; fuzzy measures; human perception; human vision system; no-reference image quality assessment; synthetical index; Design methodology; Distortion measurement; Fuzzy systems; Humans; Image analysis; Image databases; Image quality; Optical distortion; Physics; Videos; fuzzy measures and fuzzy integrals; human visual system (HVS); image quality assessment (IQA); no-reference (NR); objective method;

fLanguage

English

Publisher

ieee

Conference_Titel

MultiMedia and Information Technology, 2008. MMIT '08. International Conference on

Conference_Location

Three Gorges

Print_ISBN

978-0-7695-3556-2

Type

conf

DOI

10.1109/MMIT.2008.171

Filename

5089131