Paper
9 April 1999 Watermarking by histogram specification
Dinu Coltuc, Philippe Bolon
Author Affiliations +
Proceedings Volume 3657, Security and Watermarking of Multimedia Contents; (1999) https://doi.org/10.1117/12.344674
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
The paper investigates the use of image histograms as watermarks. First, the problem of exact histogram specification is addressed and a method for exact histogram specification, consistent with the human perception of brightness, is developed. Next, two watermarking techniques based on exact histogram specification are proposed. The first one directly considers image histograms as watermarks. Thus, a particular histogram is assigned as a watermark and images are further transformed to have exactly the assigned histogram. Since quite large variations in image histogram are not perceived by humans, an unlimited number of invisible watermarks can be defined for which images appear visually non-distorted. Besides, by selecting histograms which are variations of uniform histogram, the transformed images are not only uniquely marked but also enhanced. The second approach conserves, for each image, its original histogram. The watermarking procedure consists of two histogram specification transforms: a transform to the assigned watermark followed by an inverse transform to recover the original histogram. Since image recovery after a histogram specification transform is not exact, the error obtained after the two consecutive transforms is further used to track each watermark.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dinu Coltuc and Philippe Bolon "Watermarking by histogram specification", Proc. SPIE 3657, Security and Watermarking of Multimedia Contents, (9 April 1999); https://doi.org/10.1117/12.344674
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Cited by 39 scholarly publications.
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KEYWORDS
Digital watermarking

Image enhancement

Transform theory

Visualization

Computer programming

Image restoration

Digital imaging

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