Thus, the embedding positions are robust to the affine transformation and geometric attacks, and the watermark robustness improved. The gradient-probability distributions of the vectors are used as the feature data to determine the watermark embedding position. Each two matched feature points construct one matching vector. We detect the scale invariable feature transformation (SIFT) feature points from centre views and match them in every two adjacent views. First, to improve the robustness, we combine the DIBR rendering rules to construct steady feature data as the selection criterion of watermark embedding position. Therefore, we apply the DIBR rendering features to propose a watermarking method to enhance the watermarking effect. However, the robustness and imperceptibility of the existing methods need to be improved. A variety of digital watermarking methods have been proposed to protect the copyright of DIBR 3D video works. The experimental results show that our algorithm outperforms the state-of-the-art method in terms of imperceptibility, robustness, and computational cost.ĭepth-image-based rendering (DIBR) has become an accessible rendering technology for 3D video. Moreover, a strategy taking advantage of the high decoding reliability of the QRCode is proposed to terminate the extraction in advance, and both the embedding and the extracting process are performed in the spatial domain, which all contribute to further enhance the execution efficiency. The property that is associated with the ratio of the DC coefficient before and after scaling the video resolution motivates us to select the DC coefficient as the quantization value and set the size of the quantization interval by the video resolution to maintain the synchronization between them before and after scaling. For addressing this issue, an adaptive quantization index modulation method is proposed. However, most of them work poorly in resisting scaling attacks, by which the quantization value may fall outside the original quantization interval. The quantization-based methods are widely used in the existing watermarking algorithms, owing to their low computational complexity and completely blind extraction. Simply drag your photos into Visual Watermark and it will apply watermarks to them.Video watermarking plays a vital role in protecting the video copyright. iPhoto is popular but doesn't support watermarking (like Lightroom/Aperture do).
Visual Watermark automatically adjusts watermark position&size to make it look pretty on every picture you process. We make it possible to watermark horizontal, vertical and cropped photos in a single batch.
We spent roughly 40% percents of developers' time on polishing user experience to avoid all complexities you may have.
It's clear how to use it even without looking at the tutorial. Most of competitors allow just to place a text string/logo in image corners. All this can be done by simply dragging objects around photos. We offer 12 initial layouts you can customize by changing fonts, logos, position, etc. Visual Watermark allows you to build highly customizable watermarks.
Visual Watermark is a photo watermarking software that protects your images quickly.
Visual Watermark for Mac offers an ideal solution for photographers and artists to protect their photos and artwork online, but it's easy enough for the photo hobbyist to use, as well.Įditors' note: This is a review of the trial version of Visual Watermark for Mac 3.0. We were also able to place a watermark on batches of images, which was very helpful with large collections. We set the output directory, specified image quality and size, and then exported the file without any issues. Each watermark is configurable for size, placement, rotation, and transparency. Purchasing the app unlocks up to another six designs. This version also puts a "Trial Version" watermark at the bottom of each photo. We tried a demo version, which comes with seven different watermark designs. The attractive interface guided us as we went through each step, leaving us with no questions as to how to use the software. Visual Watermark for Mac comes with no Help file or tutorial, but neither is necessary. We downloaded the app's 65MB file, and the longish wait for it to complete was the final negative part of our experience. The application is easy to use and does exactly what it's supposed to. Visual Watermark for Mac dramatically eases the often laborious task of adding copyright protection to your digital photos for display on the Web.