Steganography Based on LSB Substitution in Spatial Domain

Steganography Based on Least Significant Bit Substitution in Spatial Domain

This steganography technique is a method for concealing information within digital images. It embeds secret messages by modifying the least significant bits (LSB) of image pixels in the spatial domain, typically replacing the LSBs of pixel color channels (RGB or grayscale) with message bits. To implement this method in code, you would typically: - Read image pixel values using libraries like PIL (Python Imaging Library) or OpenCV - Convert secret messages to binary format - Iterate through image pixels sequentially, replacing LSBs with message bits - Use specific bit manipulation operations (bitwise AND/OR) to preserve original pixel appearance - Save the modified image with embedded data

The technique ensures minimal visual degradation since LSB modifications cause only subtle changes imperceptible to human vision. Secret information can be extracted by the recipient through reverse LSB extraction process, reading the embedded bits from the same pixel positions.