Digital Watermarking Algorithm : The Studies
We came across a few Digital Watermarking Algorithm studies with intriguing findings.
Digital watermarking using wavelet domain
A journal about the performance of a digital watermarking algorithm for wavelet domain was recently presented. The proposed algorithm utilizes differential evolution and singular value decomposition in order to achieve better robustness and invisibility. The study showed that this approach can counterpoise the conflict between two key criteria, invisibility and robustness.
Block-Based Watermarking for Digital Images: An evaluation
A research about watermarking has been conducted for digital images. The study found that block-based watermarking can be an effective way to protect digital images from unauthorized use. The process of segmenting an image into non-overlapping blocks, applying forward DCT to each block, and applying some block selection criteria can help to protect the data from unauthorized use. Furthermore, coefficient selection criteria can be used to determine which coefficients should be applied to the selected blocks. Finally, embedding the data using a modification technique can help to further protect the image from unauthorized use.
What IfDragonflies Had A Digital Watermarking Algorithm?
An article about the digital watermarking algorithm using dragonflies has been conducted. Finally, the proposed algorithm has been found to be more efficient than others studied before it in terms of watermarking results.
Digital watermarking for a burgeoning online world
An analysis about robust digital watermarking algorithms based on capita demand has aroused recent research interest and has gradually evolved into one of the most popular and requested technologies. As a result, robust digital watermarking technology has become an important part of various offline and online usage scenarios.
Not Just Images: Digital Watermarking and Its Potential Applications
A research about digital watermarking and how it could be used for STILL images showed that there are many potential applications for such technology. One of the most obvious benefits of digital watermarking is that it makes it possible to mark images so that they can be identified later, as opposed to just being plain old image data. Additionally, digital watermarking can give companies the ability to track which images are being used most frequently and by whom.
Adaptive Digital Watermarking for Public Images
A study about adaptive digital watermarking under image quad-tree partition is conducted. Under the image quad-tree partition, an algorithm for adaptive digital watermarking is proposed. It integrates original image data, a new image data, and any modified duplicate images into a predefined buckets. The CDM policing algorithm can be used to enforce the bounds of appropriated images. An evaluation study has been conducted on a publicly available test dataset and found that the proposed algorithm provides superiority over those of other existing candidates.
Watermarking with Genetic Algorithm for Reducing Over Veil Surveillance Challenges
An inquiry about digital watermarking was conducted using the genetic algorithm to find optimal places to embed into a cover image. The study found that improving the location of the embedded region can make a difference in recognizing the cover image. The study also found that using a Genetic algorithm for watermarking can be an effective way to reduceoveillance challenges.
Data Watermarking: ASecure Option for Audio Signals
A paper about watermarking has shown that it can provide a sought after level of security for audio signals. In order to embed the watermark, a number of steps are taken. The DWT is applied with weights that represent the importance of the coefficients in each band. After these are selected, the coefficients are embedded into the audio signal using a known Cutting algorithm.
Watermarking on Digital Images: A Cause for Imperceptibility
A study about the impact of watermarking on digital images has shown that it can cause imperceptibility in certain portions of an image. By applying different attacks to watermarked images, it was possible to extract unique identifying information that was otherwise difficult to see.
Improved Encryption Methods for Digital Watermarks
A study about blue monkey encrypts digital watermarks in images by using improved honey algorithm and finds the best location to hide them. This study manages to improve encryption Methods with updated algorithms and provides a more efficient and secure way of encrypting digital watermarks. This study will help Companies and individuals protect themselves against piracy and counterfeiting.