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Detect and extract invisible blind watermarks from images. Supports PNG/JPG formats and preprocessing scaling.
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Max 2 MB • Max 1 files
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When an image is embedded with a blind watermark invisible to the naked eye, how can you quickly verify and extract the hidden information? This tool analyzes image pixel data using frequency domain transformation algorithms to detect and extract common digital blind watermarks. A blind watermark is an invisible identifier embedded by modifying the frequency domain coefficients of an image, typically containing text content such as copyright information and tracking IDs.
Q: Why is the blind watermark sometimes not detected?
A: The original image might not have an embedded watermark, or it may have been destroyed by compression.
Q: Are the blind watermark extraction results 100% accurate?
A: The watermark recognition rate is affected by image quality. We recommend using original images that haven't undergone secondary compression. The typical success rate is around 70-85%.
• Only supports PNG/JPG formats, maximum 5MB per file.
• A scaling ratio of 0.5-1.5x is recommended for best results.
• Extracted results may contain garbled text and should be evaluated based on your specific use case.
For images containing sensitive information, we recommend testing different scaling parameters:
Example Input: 1280×720 pixel JPG promotional image
Typical Output: "Copyright©2023-ACME-ID:XT568"
Note that frequency domain watermarks are sensitive to JPEG compression and may become invalid after multiple saves.
