Chen [13] has proposed a visible watermarking mechanism to embed a gray level watermark into the host image where the strength of the embedded watermark locally depends on the standard deviation of luminance.
In this paper, we have proposed a new robust watermarking method in frequency domain to insert a gray level watermark in an image.
The proposed watermarking scheme uses NPT to encode a gray scale watermarking logo image or text, into a host image at any location.
In this paper, a robust private watermarking scheme for embedding a gray-scale watermark is proposed.
In addition, it is suitable for both bi-level and gray-level watermarks, and can accommodate large watermarks that are up to half the size of the host image.
Check 'Include watermark' in the 'Watermark' section.
Most of the existing color image watermarking schemes use binary or gray-level image as watermark, and many of them belong to non-blind watermarking methods.
In this paper, a novel watermarking scheme is proposed by embedding a binary watermark into gray-scale images using a hybrid GA-BPN intelligent network.
In this paper, we model HVS characteristics using hybrid Fuzzy-BPN to implement a novel image watermarking scheme to embed a permuted binary watermark in gray-scale images.
Overall, it is concluded that the Fuzzy-BPN is successful candidate for implementing novel gray-scale image watermarking scheme meeting real timelines.
