: Advanced versions can incorporate "selection channel" information, which identifies parts of the image more likely to hide data, significantly increasing detection accuracy. Other Possible Interpretations Depending on your field of work, "SRM" might also refer to: Rich Models for Steganalysis of Digital Images
The SRM is designed to detect hidden data (steganography) by analyzing noise patterns within an image. Its primary "features" include:
: These filters are categorized into various classes (e.g., linear, edge, square) and sizes ( ) to capture different types of manipulation.
: Advanced versions can incorporate "selection channel" information, which identifies parts of the image more likely to hide data, significantly increasing detection accuracy. Other Possible Interpretations Depending on your field of work, "SRM" might also refer to: Rich Models for Steganalysis of Digital Images
The SRM is designed to detect hidden data (steganography) by analyzing noise patterns within an image. Its primary "features" include:
: These filters are categorized into various classes (e.g., linear, edge, square) and sizes ( ) to capture different types of manipulation.