A new approach for image quality assessment using SVD
Farah Torkamani Azar, Seyed Ali Amirshahi · 2007
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 8×8 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.