One common technique for concealing a message within an image is to modify the least significant bits (LSBs) of the pixel values in the image. For example, a message could be encoded as a series of binary digits, and each digit could be represented by the LSB of one or more pixels in the image. This technique is relatively simple to implement, but it can be detected by comparing the original image with the steganographically modified image using image processing techniques.
Other techniques for steganography include using spread spectrum techniques to spread the hidden message across a wide frequency range, or using noise or other redundant data to conceal the message. There are also steganographic techniques that involve hiding messages within other types of media, such as audio files or video files.
Steganography has a variety of applications, including the transmission of sensitive information, the protection of intellectual property, and the creation of digital watermarks. However, it can also be used for malicious purposes, such as the transmission of illegal or unethical content. As a result, steganography is sometimes regulated by law, and tools and techniques for detecting and decoding hidden messages are often developed by government agencies and security experts.
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