Ahmad MAHMOUDI-AZNAVEH, Azadeh MANSOURI, Farah TORKAMANI-AZAR^*, and Mohammad ESLAMI

Faculty of Electrical and Computer Engineering, University of Shahid Beheshti, G.C. Tehran, Iran

(Received July 7, 2008; Accepted October 15, 2008)

To identify the distortion type and quantify the quality of images, a new method is presented based on a comparison among the structural properties as well as consideration of the luminance characteristics of the two compared images. To fulfill this aim, the mathematical concept of the singular value decomposition (SVD) theorem has been applied. The difference vector of the reflection coefficients of the disturbed and the original image on the right singular vector matrix of the original image are considered. Many tests were conducted to evaluate the performance, using a widespread subjective study involving 779 images from the Live Image Quality Assessment Database, Release 2005. The results showed a greatly improved performance along with the ability to distinguish distortion type of images.

Key words: image processing, image quality, matrix algebra, matrix decomposition, singular value decomposition

^*E-mail address: f-torkamani@sbu.ac.ir