Construct the reference image for blur images,so that no reference i mage quality assessment is transformed into a full reference image quality evaluation,a no-reference blur image quality assessment based on local discrete wavelet transform is proposed.Firstly,the reference ima ge of the original blur image is constructed by the method of low pass filtering;then,the high frequency energy graphs of the original fuzzy image and reference image are extracted by local discrete wavelet transform;finally,the s imilarity of two high frequency energy graphs is calculated,and the quality of the original blur image is obtain ed.Th e experimental results on 3databases show that the proposed algorithm is superior to the other four definition evalua tion algorithms,and has a significant improvement on the monotonic and consistency with subjective evaluat ion.The spearman rank-order coorelation coefficient (SROCC) value reaches 0.9598in LIVE database.The performance of the algorithm is s table,and the algorithm is more consistent with the human visual system.