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。
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.
引文
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