Image Quality Assessment of IKONOS Images Basedon Contourlet-SIIM Model

To assess the remote sensing image quality,a novel human vision system model is proposedbased on the SSIM of Contourlet transform.Firstly,a subjective image quality assessment database isestablished with 200Gaussian-noise images,200Salt& Pepper noise images,and 500compressiondistortion images,processed in matlab7and then evaluated by 25remote sensing experts.Secondly,IKONOS images after Contourlet transform are assessed by C-SSIM model.Lastly,experiments showthat the C-SSIM model performs better than others,in contrast to MSE,PSNR,SSIM image qualityassessment results,is the contourlet-SIIM Model result are consistent with the subjective database.