Title | ||
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Local and Global Feature Learning for Blind Quality Evaluation of Screen Content and Natural Scene Images. |
Abstract | ||
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The blind quality evaluation of screen content images (SCIs) and natural scene images (NSIs) has become an important, yet very challenging issue. In this paper, we present an effective blind quality evaluation technique for SCIs and NSIs based on a dictionary of learned local and global quality features. First, a local dictionary is constructed using local normalized image patches and conventional... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TIP.2018.2794207 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Measurement,Dictionaries,Feature extraction,Visualization,Encoding,Image coding,Distortion | Kernel (linear algebra),Histogram,Computer vision,Fidelity,Quality Score,Pattern recognition,Pooling,Support vector machine,Artificial intelligence,Cluster analysis,Feature learning,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 5 | 1057-7149 |
Citations | PageRank | References |
9 | 0.52 | 31 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wujie Zhou | 1 | 39 | 3.98 |
Lu Yu | 2 | 444 | 55.90 |
Yang Zhou | 3 | 39 | 2.92 |
Weiwei Qiu | 4 | 55 | 3.90 |
Mingwei Wu | 5 | 138 | 19.05 |
Ting Luo | 6 | 41 | 5.29 |