给出了一种用于MPEG-2视频编码的色饱和度调整算法，该算法采用了神经网络分类器将MPEG-2当前帧每个像素的色差信号分成色饱和度很高，色饱和度高，色饱和度低和色饱和度很低等4个区，然后分别加权得到色差信号的总修正因子用以调整图象的色饱和度，仿真结果表明，视频解码图象的主客观质量都有明显改善，可以有效调整图象序列中欠饱和和过饱和的图象。

A color saturation adjustment algorithm of video coding in MPEG-2 is given in this paper. This algorithm divides the color difference signals of current frame into four color saturation regions of very high, high, low, very low region by using neural networks and derive the modification factor to adjust the color saturation of the current frame. Simulation results indicate that this method can improve the subjective and objectiv equality of video decoding frame in terms of decoding peak signal-to-noise ratio and color saturation.