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Multi-exposure image fusion is considered an effective quality enhancement technique widely adopted in consumer electronics, but little work has been dedicated to the
perceptual quality assessment of multi-exposure fused images.In this paper, we first build an MEF database and carry(structural similarity approach and a novel measure of patch structural consistency. Our experimental results on the subjective database show that the proposed model well
correlates with subjective judgments and significantly outperforms the existing IQA models for general image fusion)
perceptual quality assessment of multi-exposure fused images.In this paper, we first build an MEF database and carry(structural similarity approach and a novel measure of patch structural consistency. Our experimental results on the subjective database show that the proposed model well
correlates with subjective judgments and significantly outperforms the existing IQA models for general image fusion)
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文件名 | 大小 | 更新时间 |
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6f7af0086f0e329779f3497e97440765d170.pdf | 3443023 | 2017-12-26 |
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