Structure analysis image quality measurement

Author

Li, Qian ; Yang, Cui ; Liu, HongMei ; Zhang, FangFang

Author_Institution

Sch. of Tech. Phys., Xidian Univ., Xi´´an, China

fYear

2011

fDate

21-23 Oct. 2011

Firstpage

439

Lastpage

443

Abstract

In this paper, a novel image quality assessment, called Structure Analysis Image Quality Measurement (SAIM), is proposed by evaluating the difference of the distorted image from the reference image on three aspects: the average luminance, edge intensity and orientation. It is sensitive to edge change, which consists well with the perceptual characteristics of human vision. The experiment results demonstrate its superiority over the most popular metrics, such as PSNR and MSSIM, on “LIVE Image Quality Assessment Database”. And furthermore, SAIM can find a wide application in various fields, because of its capability of estimating the similarity between any two signals.

Keywords

brightness; image restoration; visual databases; LIVE image quality assessment database; MSSIM; PSNR; average luminance; distorted image; edge intensity; edge orientation; reference image; structure analysis image quality measurement; Correlation; Distortion measurement; Humans; Image edge detection; Image quality; PSNR; edge intensity; edge orientation; image quality; structure analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2011 International Conference on

Conference_Location

Hubei

Print_ISBN

978-1-61284-879-2

Type

conf

DOI

10.1109/IASP.2011.6109079

Filename

6109079