PROJECT TITLE :
Robust Histogram Shape-Based Method for Image Watermarking
Cropping and random bending are 2 common attacks in image watermarking. In this paper we have a tendency to propose a novel image-watermarking methodology to house these attacks, as well as other common attacks. In the embedding process, we tend to initial preprocess the host image by a Gaussian low-pass filter. Then, a secret key's used to randomly select a variety of gray levels and also the histogram of the filtered image with respect to these selected gray levels is built. When that, a histogram-shape-connected index is introduced to choose the pixel groups with the highest range of pixels and a secure band is made between the chosen and nonchosen pixel teams. A watermark-embedding theme is proposed to insert watermarks into the chosen pixel groups. The usage of the histogram-shape-related index and safe band ends up in sensible robustness. Moreover, a unique high-frequency part modification mechanism is also used within the embedding scheme to further improve robustness. At the decoding finish, based mostly on the on the market secret key, the watermarked pixel groups are identified and watermarks are extracted from them. The effectiveness of the proposed image-watermarking technique is demonstrated by simulation examples.
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