Title :
A new approach for image quality assessment using SVD
Author :
Torkamani-Azar, Farah ; Amirshahi, Seyed Ali
Author_Institution :
Shahid Beheshti Univ., Tehran
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;
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
DOI :
10.1109/ISSPA.2007.4555385
