This paper introduces a steganalysis algorithm based on statistics method for LSB steganograhpy and mends it, proposes a method estimating the quantity of hiding data reliably.
介绍了一种基于统计特性的LSB密写分析方法，对其进行了改进并提出了可靠估计信息隐藏长度的方法。
A new method that digital watermarking information was embedded in numerical attributes Least Significant Bit (LSB) was put forward in view of the existing watermark algorithms insufficiency.
针对现有水印算法的不足，提出了在数值型属性最低有效位(LSB)嵌入水印信息的一种新方法。
The limit that space domain only be applied in LSB under gray image of digital watermark was changed. Then, experiment showed that the method have a better adaptability to normal attack.
在灰度图像中的数字水印中，空间域方法只能用在LSB（最低有效位）的局限性，同时，实验表明对常规攻击具有较好的识别能力。
The experiment proved that this method is efficient in estimating LSB steganography when the embedding rate is not too small.
实验证明，该方法在隐藏图像嵌入率不是很低的情况下，能够比较准确地估计出隐藏图像的嵌入率。
Considering the traditional data hidden method based on LSB, authors proposed an improved information hidden and extraction algorithm which USES digital images as hidden media.
针对传统的LSB数据隐藏方法，提出了一种以数字图像为媒体的信息隐藏改进算法，该方法具有容易实现、隐蔽性强、抗干扰性好、效率高等优点。
The proposed method made use of the LSB matching method based on particle swarm optimization algorithm to embed the secret data and maintain image quality.
同时采用基于粒子群优化的LSB替换算法来嵌入隐秘信息，取得了很好的图像质量和嵌入效果。
The proposed method made use of the LSB matching method based on particle swarm optimization algorithm to embed the secret data and maintain image quality.
同时采用基于粒子群优化的LSB替换算法来嵌入隐秘信息，取得了很好的图像质量和嵌入效果。
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