Image quality assessment based on gradient complex matrix

Author

Wang Yuqing

Author_Institution

Key Lab. of Airborne Opt. Imaging & Meas., Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China

fYear

2012

fDate

19-20 May 2012

Firstpage

1932

Lastpage

1935

Abstract

An image quality assessment model based on gradient complex matrix is proposed. The vertical and horizontal gradient information of grayscale image is calculated. Complex number is used to construct the measuring matrix. Singular value decomposition is performed in order to obtain the main structure information of the image. The singular value feature vectors of the image gradient complex matrices corresponding to the reference image and the distorted image are used to measure the structural similarity of the two images. PSNR is taken as a tool to evaluate the gradient distribution similarity. Their properties are analyzed by using LIVE database and nonlinearity regression function.

Keywords

feature extraction; gradient methods; image matching; matrix algebra; regression analysis; singular value decomposition; visual databases; LIVE database; PSNR; complex number; feature vectors; gradient complex matrix-based image quality assessment; gradient distribution similarity; grayscale image; horizontal gradient information; image distortion; image gradient complex matrices; image similarity; image structure information; measuring matrix; nonlinearity regression function; reference image; singular value decomposition; vertical gradient information; Distortion measurement; Gray-scale; Humans; Image quality; Matrix decomposition; PSNR; Periodic structures; complex matrix; gradient; image quality assessment; singular value decomposition;

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.2012.6223427

Filename

6223427