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The same image viewed by white, blue, green, and red lights reveals different hidden numbers. Steganography (/ ˌ s t ɛ ɡ ə ˈ n ɒ ɡ r ə f i / ⓘ STEG-ə-NOG-rə-fee) is the practice of representing information within another message or physical object, in such a manner that the presence of the concealed information would not be evident to an unsuspecting person's examination.
Image of a tree with a steganographically hidden image. The hidden image is revealed by removing all but the two least significant bits of each color component and a subsequent normalization. The hidden image is shown below. Image of a cat extracted from the tree image above. Concealing messages within the lowest bits of noisy images or sound ...
Steganography architecture example - OpenPuff. A steganography software tool allows a user to embed hidden data inside a carrier file, such as an image or video, and later extract that data. It is not necessary to conceal the message in the original file at all.
Steganography.png (480 × 120 pixels, file size: 6 KB, MIME type: image/png) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
Printer tracking dots, also known as printer steganography, DocuColor tracking dots, yellow dots, secret dots, or a machine identification code (MIC), is a digital watermark which many color laser printers and photocopiers produce on every printed page that identifies the specific device that was used to print the document.
For example, a common artifact in JPEG compression is "edge ringing", where high-frequency components (such as the high-contrast edges of black text on a white background) distort neighboring pixels. This distortion is predictable, and simple steganographic encoding algorithms will produce artifacts that are detectably unlikely.
Image of Bacon's cipher. Bacon's cipher or the Baconian cipher is a method of steganographic message encoding devised by Francis Bacon in 1605. [1] [2] [3] In steganograhy, a message is concealed in the presentation of text, rather than its content.
In this example, the binary image has been split into two component images. Each component image has a pair of pixels for every pixel in the original image. These pixel pairs are shaded black or white according to the following rule: if the original image pixel was black, the pixel pairs in the component images must be complementary; randomly ...