LSB Algorithm for Watermark Embedding and Extraction Using Least Significant Bit Method

In this document, we discuss the application of the Least Significant Bit (LSB) algorithm, which can embed watermark images into carrier images and extract watermarks from carrier images. The LSB algorithm is a commonly used digital watermark embedding technique that achieves covert image protection by embedding watermark information in the least significant bits of pixels. Through the LSB algorithm, we can embed watermark information into images without affecting carrier image quality, thereby enabling applications such as image copyright protection and authentication. The implementation typically involves modifying the least significant bits of pixel values using bitwise operations - for example, replacing the LSBs of carrier image pixels with the most significant bits of watermark image pixels. Beyond the LSB algorithm, there are other watermark embedding techniques such as DCT-domain watermarking algorithms and frequency-domain watermarking algorithms. These algorithms have their respective advantages and characteristics in different application scenarios, allowing users to select appropriate algorithms based on specific requirements for watermark embedding. Therefore, this document focuses on discussing the principles, implementation methods, and application effects of the LSB algorithm, including code implementation aspects like bit-plane manipulation and pixel value modification, to help readers better understand and apply this technology.