Perceptual Copyright Protection Using Multiresolution Wavelet-Based Watermarking And Fuzzy Logic

In this paper, an efficiently DWT-based watermarking technique is proposed to embed signatures in images to attest the owner identification and discourage the unauthorized copying. This paper deals with a fuzzy inference filter to choose the larger entropy of coefficients to embed watermarks. Unlike most previous watermarking frameworks which embedded watermarks in the larger coefficients of inner coarser subbands, the proposed technique is based on utilizing a context model and fuzzy inference filter by embedding watermarks in the larger-entropy coefficients of coarser DWT subbands. The proposed approaches allow us to embed adaptive casting degree of watermarks for transparency and robustness to the general image-processing attacks such as smoothing, sharpening, and JPEG compression. The approach has no need the original host image to extract watermarks. Our schemes have been shown to provide very good results in both image transparency and robustness.Comment: 13 pages, 7 figure

Hidden Beneath: Watermarks in the Early American Document Collection

This summer, as the Smith Intern at Special Collections, I was tasked with working on a hodge-podge of assembled documents, previously referred to as the “18th Century Document” collection. The box’s contents had been around for just about as long as anyone could remember, and really only got exposure for the Revolutionary War classes that had class sessions through Special Collections. Yet, as I browsed through the collection (which was really a small assemblage of papers), the box was much more than a Revolution collection. [excerpt