Description: 图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string, however, one byte for each data bit is not an important degree of the same, often only two adjacent low-byte is not the same. For example: 00100110 and 00100111 represent the gradient of two different degrees of red, but on the human eye is not out to tell. Least significant bit LSB algorithm, is to take advantage of this point, to achieve image compression, or digital watermark feature. Platform: |
Size: 322560 |
Author:xlz |
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Description: DCT-based Data hiding: dataHide.m Hide the logo image into the original
dataExtract.m Extract the logo image from the original findData.m Verify the robustness of the data hiding method 。and use jpeg compress
-DCT-based Data hiding: dataHide.m Hide the logo image into the original dataExtract.m Extract the logo image from the original findData.m Verify the robustness of the data hiding method. and use jpeg compress Platform: |
Size: 5120 |
Author:潘 |
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