Image Quality Assessment Model Based on DCT Coefficient Error
Qiang Li · Jisuanji gongcheng · 2011
Based on the Human Visual System(HVS) with different sensitivities in the frequency domain,this paper presents an image quality assessment model.Discrete Cosine Transform(DCT) coefficients are divided into low and high frequency components.Distortion of low frequency is showed by absolute square sum of low frequency error,but distortion of high frequency is showed by relative square sum of high frequency error.The product of two distortion is adopted as objective evaluation of quality.The model is validated with Differential Mean Opinion Score(DMOS) on LIVE database.Experimental results show that the performance of this method is superior to the algorithms of Peak Signal to Noise Ratio(PSNR) and Structural SIMilarity(SSIM).