Improved Chroma Resampling Algorithm Based on Interpolation Method

Shiwei Ren, Qiuchen Ji, Wei Gao, Yue Ma
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Abstract

An improved algorithm based on bilinear interpolation was proposed. It could deal with the shortcoming of chroma component information loss in the original video image chroma resampling algorithm. With the bilinear interpolation method, the chroma component matrix in the YCbCr color space was scaled in both the horizontal and vertical directions. It could reduce information loss while meeting the corresponding standard data format. The new algorithm could retain more information from the source image’s color, which improved image recovery. In addition, the paper proposed a new format with a higher compression ratio on the basis of ensuring visual performance. Experimental results showed that, compared with the original chroma resampling algorithm, the processing result of the improved algorithm had a significant improvement in the performance of parameters such as composite peak signal noise ratio (CPSNR).
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基于插值法的改进色度重采样算法
提出了一种基于双线性插值的改进算法。该算法可以解决原有视频图像色度重采样算法中色度分量信息丢失的缺点。采用双线性插值方法,对YCbCr色彩空间中的色度分量矩阵在水平和垂直方向上进行缩放。在满足相应的标准数据格式的同时,减少了信息的丢失。新算法可以保留更多的源图像颜色信息,提高了图像的恢复能力。此外,本文在保证视觉效果的基础上,提出了一种具有更高压缩比的新格式。实验结果表明,与原始色度重采样算法相比,改进算法的处理结果在复合峰值信噪比(CPSNR)等参数的性能上有显著提高。
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