Study on Signal-to-noise ratio algorithms based on no-reference Image quality assessment

Author

Zhu, Xuewei ; Li, Xiaohui ; Li, Ziyang ; Zhu, Bo

Author_Institution

Acad. of Opto-Electron., Grad. Univ. of Chinese Acad. of Sci., Beijing, China

fYear

2012

fDate

19-20 May 2012

Firstpage

1755

Lastpage

1759

Abstract

No-reference (NR) Image quality assessment is currently a hot research field of image quality evaluation. Since Signal-to-noise ratio (SNR) is an important indicator of image quality, some representative SNR evaluation algorithms based on NR are introduced in this paper, and are studied focusing on the consistency with subjective perception. The analysis results show that the algorithm based on perceptual masking of human visual system (HVS) has the best evaluation performance than other SNR evaluation algorithms, and the Frequency Domain method can be as the alternative one.

Keywords

frequency-domain analysis; image processing; visual perception; HVS; NR-based SNR evaluation algorithms; frequency domain method; human visual system; image quality evaluation; no-reference image quality assessment; perceptual masking; signal-to-noise ratio algorithms; subjective perception; Frequency domain analysis; Image quality; Remote sensing; Sensitivity; Signal to noise ratio; human visual system (HVS); no-reference image quality assessment; signal-to-noise ratio (SNR);

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Informatics (ICSAI), 2012 International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4673-0198-5

Type

conf

DOI

10.1109/ICSAI.2012.6223383

Filename

6223383