Measure the Quality of Digital Image Using Standard Information

Abstract

In this research , the second degree polynomial regression for digital images were proposed to test the effect of using digital treatments on the original image, Then choose the relatively better model among the appropriate models and test their quality by adopting special criteria (Akaike Information criteria , Bayesian information criteria BIC, Hannan – Quinn criteria HQC ). In this paper it was found that the image was processed by improving its contrast and then reducing its size , minimize it , and improve its contrast, which results in better quality compared to other image for getting lowest value of (AIC,BIC,HQC)