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Luma-Chroma Space Filter Design for Subpixel-Based Monochrome Image Downsampling

机译:基于亚像素的单色图像下采样的亮度色空间滤波器设计

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In general, subpixel-based downsampling can achieve higher apparent resolution of the down-sampled images on LCD or OLED displays than pixel-based downsampling. With the frequency domain analysis of subpixel-based downsampling, we discover special characteristics of the luma-chroma color transform choice for monochrome images. With these, we model the anti-aliasing filter design for subpixel-based monochrome image downsampling as a human visual system-based optimization problem with a two-term cost function and obtain a closed-form solution. One cost term measures the luminance distortion and the other term measures the chrominance aliasing in our chosen luma-chroma space. Simulation results suggest that the proposed method can achieve sharper down-sampled gray/font images compared with conventional pixel and subpixel-based methods, without noticeable color fringing artifacts.
机译:通常,与基于像素的下采样相比,基于子像素的下采样可以实现LCD或OLED显示器上的下采样图像更高的表观分辨率。通过基于子像素的下采样的频域分析,我们发现了单色图像的亮度-色度颜色转换选择的特殊特征。有了这些,我们将基于亚像素的单色图像降采样的抗混叠滤波器设计建模为具有两个成本函数的基于人类视觉系统的优化问题,并获得封闭形式的解决方案。一个成本项衡量亮度失真,另一个成本项衡量我们选择的亮度-色度空间中的色度混叠。仿真结果表明,与传统的基于像素和基于子像素的方法相比,所提出的方法可以获得更清晰的向下采样的灰度/字体图像,而没有明显的色边伪像。

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