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The higher the image quality is (i.e., less distortion), the greater the cosine similarity coefficient will be. Statistical analysis is applied to analyze the performance of the metric by evaluating the relationship between the human subjective assessment scores and the subband cosine similarities. Experimental results show that the proposed blind method for the quality assessment of wavelet-compressed images has sufficient prediction accuracy (high Pearson Correlation Coefficient, PCCs), sufficient prediction monotonicity (high Spearman Correlation Coefficient SCCs) and sufficient prediction consistency (low outlier ratios) and less running time. It is simple to calculate, has a clear physical meaning, and has a stable performance for the four image databases on which the method was tested.<\/p>","DOI":"10.4018\/ijapuc.2014010103","type":"journal-article","created":{"date-parts":[[2014,9,2]],"date-time":"2014-09-02T10:52:07Z","timestamp":1409655127000},"page":"26-43","source":"Crossref","is-referenced-by-count":0,"title":["Blind Assessment of Wavelet-Compressed Images Based On Subband Statistics of Natural Scenes"],"prefix":"10.4018","volume":"6","author":[{"given":"Yingchun","family":"Guo","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cuihong","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijapuc.2014010103-0","unstructured":"Alers, H., Heynderickx, I., Liu, H., Redi, J., & Zunino, R. 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