By adding temporal periodic signal with natural frequencies to discrete spatial points, the spatiotemporal chaos can be suppressed successfully.
研究表明，通过在空间分立点加上自然频率的时间周期信号，可以控制时空混沌运动。
The LSB algorithm based on spatial domain is improved. It took advantage of chaos to preprocess watermarking and to use fixation normalization mutuality to embed watermarking in LSB.
提出一种LSB改进算法．利用混沌序列对水印预处理，而后利用固定归一化相关嵌入图像数据低位，从而改进了传统LSB算法稳健性差的缺点。
A novel chaos based spatial domain watermarking algorithm is proposed in this dissertation.
提出了一种新颖的基于混沌的空域数字水印算法。
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