| 基于特征融合的无参考屏幕图像质量评价 |
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| 引用本文： | 程姗,曾焕强,陈婧,田钰,蔡灿辉.基于特征融合的无参考屏幕图像质量评价[J].信号处理,2019,35(3):419-425. |
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| 作者姓名： | 程姗 曾焕强 陈婧 田钰 蔡灿辉 |
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| 作者单位： | 华侨大学信息科学与工程学院,厦门市移动多媒体通信重点实验室 |
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| 基金项目： | 国家自然科学基金项目(61871434,61802136,61602191)；福建省自然科学基金项目(2019J06017,2016J01308,2017J05103)；泉州市高层次人才创新创业项目(2017G027)；华侨大学中青年教师科研提升资助计划(ZQN-YX403,ZQN-PY418)；华侨大学高层次人才资助项目(14BS201,14BS204,16BS709）
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| 摘 要： | 考虑到人类视觉系统对图像边缘和局部纹理信息较为敏感，本文提出一种基于特征融合的无参考屏幕图像质量评价方法。所提方法通过梯度方向直方图和局部二值模式分别提取屏幕图像的边缘和局部纹理信息，接着通过特征融合过程得到一个更加能够描述屏幕失真的融合特征，最后采用支持向量回归训练得到屏幕图像融合特征向量与主观质量分数的质量评价映射模型。实验结果显示，与现有的图像质量评价方法相比，本文所提算法能够更好地反映出人类视觉系统对屏幕图像的主观感知度。
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| 关 键 词： | 屏幕图像 图像质量评价 边缘信息 局部纹理 特征融合 |
| 收稿时间： | 2018-12-31 |
Feature fusion based no reference quality assessment for screen content image |
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| Affiliation: | School of Information Science and Engineering, Huaqiao University, Xiamen Key Laboratory of Mobile? Multimedia Communications |
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| Abstract: | Considering the human visual system is more sensitive to the edge and local texture information, this paper presents a feature fusion based no reference quality assessment model for screen content image (SCI). In the proposed method, the Histogram of Oriented Gradient and Local Binary Pattern are exploited to describe the edge and local texture information of the SCI. A feature fusion process is subsequently conducted to obtain a feature to better reflect the distortion of SCI. Finally, the support vector regression is applied to obtain the quality assessment mapping model from the above fused feature to subjective rating. Experimental results show that the proposed method is able to better reflect the human perception on SCI, compared with multiple state-of-the-art image quality assessment methods. |
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