Analysis of sampling pattern and Luma-Chroma filter design for subpixel-based image downsampling
Jin Zeng, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Ketan Tang, Yonggen Ling · 2014
Subpixel-based image downsampling is attractive in that it produces higher apparent resolution of down-sampled images on LCD displays. However increased luminance resolution is achieved at the price of color fringing artifacts. In this paper, we propose an algorithm to find a pleasing balance between increased resolution and color fidelity. We separate the subpixel-based downsampling into two stages, shifting followed by downsampling with anti-aliasing filtering. In stage one, we find special characteristics of the luminance and chrominance spectra of the shifted image, based on which the optimal sampling pattern is found. In stage two, anti-aliasing filters for luminance and chrominance are designed respectively. Experimental results verify that the proposed method manages to suppress color artifacts while maintaining high luminance sharpness.