A new approach for image quality assessment using SVD

Author

Torkamani-Azar, Farah ; Amirshahi, Seyed Ali

Author_Institution

Shahid Beheshti Univ., Tehran

fYear

2007

fDate

12-15 Feb. 2007

Firstpage

1

Lastpage

4

Abstract

The traditional mean square error (MSE) and signal to noise ratio (SNR) measurements are based on the pixel-by-pixel differences between the original and the distorted image. These quality values are not adapted with the human visual system (HVS). Also, they can not distinguish some different corruptions. In this paper, we use the singular value decomposition algorithm of each 8times8 blocks of image to calculate the ratio of the first and second largest eigenvalues to measure the distribution of brightness. So, we could measure the quality of an image and hence to determine the type of the relating distortion. The method is so simple that the simulation results easily arrange and show the best images in order.

Keywords

image denoising; singular value decomposition; eigenvalues; human visual system; image distortion; image quality assessment; image quality measure; mean square error; pixel by pixel difference; signal to noise ratio measurement; singular value decomposition algorithm; Distortion measurement; Eigenvalues and eigenfunctions; Humans; Image quality; Mean square error methods; Noise measurement; Pixel; Signal to noise ratio; Singular value decomposition; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-0778-1

Electronic_ISBN

978-1-4244-1779-8

Type

conf

DOI

10.1109/ISSPA.2007.4555385

Filename

4555385