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A shallow convolutional neural network for blind image sharpness assessment
Blind image quality assessment can be modeled as feature extraction followed by score prediction. It necessitates considerable expertise and efforts to handcraft features for optimal representation of perceptual image quality. This paper addresses blind image sharpness assessment by using a shallow...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5436206/ https://ncbi.nlm.nih.gov/pubmed/28459832 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0176632 |
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