Gradient Direction for Screen Content Image Quality Assessment
Gradient Direction for Screen Content Image Quality Assessment
复制标题
DOI：
10.1109/lsp.2016.2599294
复制
发表时间：
2016-08
影响因子：
3.9
通讯作者：
Zhangkai Ni;Lin Ma;H. Zeng;C. Cai;K. Ma
中科院分区：
文献类型：
--
作者：
Zhangkai Ni;Lin Ma;H. Zeng;C. Cai;K. Ma
在这封信中，我们首次尝试探索使用梯度方向进行屏幕内容图像（SCI）的感知质量评估。具体来说，该方法首先提取梯度方向的图像梯度幅值的局部信息的基础上，这不仅保持了梯度方向的一致性，在局部区域，但也表现出敏感的失真引入到SCI。随后利用基于偏差的池化策略来生成对应的图像质量指数。此外，我们研究和证明的互补行为的梯度方向和幅度的SCI质量评估。通过共同考虑它们，我们提出的SCI质量度量在与人类视觉系统感知的相关性方面优于最先进的质量度量。
In this letter, we make the first attempt to explore the usage of the gradient direction to conduct the perceptual quality assessment of the screen content images (SCIs). Specifically, the proposed approach first extracts the gradient direction based on the local information of the image gradient magnitude, which not only preserves gradient direction consistency in local regions, but also demonstrates sensitivities to the distortions introduced to the SCI. A deviation-based pooling strategy is subsequently utilized to generate the corresponding image quality index. Moreover, we investigate and demonstrate the complementary behaviors of the gradient direction and magnitude for SCI quality assessment. By jointly considering them together, our proposed SCI quality metric outperforms the state-of-the-art quality metrics in terms of correlation with human visual system perception.