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PSNRHVS and PSNRHVSM are two new emerging image quality assessment methods but they fail when assessing the quality of some distorted images called as "extreme" images. In this paper an algorithm is proposed to enhance their performance on extreme images while keeping their good performance on "normal" images unchanged. First, extreme images derived from PSNRHVS are labeled with an iterative algorithm. Then an SVM classifier is used to decide if current images are extreme images or not. Next,doi:10.1109/euvip.2010.5699149 dblp:conf/euvip/TongKT10 fatcat:we7nj7bauvdmvmdyzx6ivuqwqa