Stegenography is the act of adding a hidden message to an image or other media file. It is similar to encrypting a document, but instead of running it through a cypher, the document is broken up and stored in unused, or unnoticable, bits within the overall image.
Watermarking is similar, but has a completely different purpose. Placing a watermark in an image or other media file serves to identify the artist or author of the work. It isn't so much an attempt to hide a message as it is to tag a document for later identification. Watermarking is used to protect the copyright of the original owner, to make their claim stronger, should the image be used without permission by someone else.
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DWT has excellent frequency spread, spatial localization and multi-resolution characteristics. DCT offer compression while DWT offers scalability in watermarking. These techniques and properties are used in a combined DCT DWT watermarking technique.
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A sigital Watermarking example in Matlab is in related links.
Watermarking a photo involves adding a visible or invisible mark to the image to claim ownership or provide information about the creator. It is important because it helps protect the image from unauthorized use or theft by identifying the original source and discouraging others from using it without permission.
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Digital watermarking in MATLAB can be implemented using various techniques, including spatial domain and frequency domain methods. A simple approach involves embedding a watermark image into a host image by modifying pixel values or using Discrete Cosine Transform (DCT) for frequency-based watermarking. You can use MATLAB's built-in functions like imread, imshow, and matrix operations to manipulate images. For example, to embed a watermark, you can blend it with the host image and then extract it by analyzing the modified image.
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