IEEE Trans Image Process. 2016 Dec;25(12):5841-5856. doi: 10.1109/TIP.2016.2615429. Epub 2016 Oct 5.
The subpixel rendering technology increases the apparent resolution of an LCD/OLED screen by exploiting the physical property that a pixel is composed of RGB individually addressable subpixels. Due to the intrinsic intercoordination between apparent luminance resolution and color fringing artifact, a common method of subpixel image assessment is subjective evaluation. In this paper, we propose a unified subpixel image quality assessment metric called subpixel image assessment (SPA), which syncretizes local subpixel and global pixel features. Specifically, comprehensive subjective studies are conducted to acquire data of user preferences. Accordingly, a collection of low-level features is designed under extensive perceptual validation, capturing subpixel and pixel features, which reflect local details and global distance from the original image. With the features and their measurements as the basis, the SPA is obtained, which leads to a good representation of the subpixel image characteristics. The experimental results justify the effectiveness and the superiority of the SPA. The SPA is also successfully adopted in a variety of applications, including content adaptive sampling and metric-guided image compression.
子像素渲染技术通过利用像素由单独可寻址的RGB子像素组成这一物理特性，提高了LCD/OLED屏幕的表观分辨率。由于表观亮度分辨率和彩色边缘伪像之间存在内在的相互协调关系，子像素图像评估的常用方法是主观评估。在本文中，我们提出了一种统一的子像素图像质量评估指标，称为子像素图像评估（SPA），它融合了局部子像素和全局像素特征。具体来说，我们进行了全面的主观研究以获取用户偏好数据。因此，在广泛的感知验证下设计了一组低级特征，捕捉子像素和像素特征，这些特征反映了局部细节和与原始图像的全局距离。以这些特征及其测量值为基础，得到了SPA，它能很好地表示子像素图像特征。实验结果证明了SPA的有效性和优越性。SPA还成功应用于各种应用中，包括内容自适应采样和度量引导的图像压缩。
