Motion-Frames Based Video Watermarking Scheme for Copyright Protection Using Guided Filtering in Wavelet Domain

Due to the dawn of elevated bandwidth of the internet, there exists an explosion of multimedia data exchange that makes our everyday life extremely easier. With this ease, several security issues also arise named as ownership identification, copyright protection, and illegal access to digital content. This research article proposes a prevailing technique under the scope of video watermarking based on the wavelet transform domain method with the inclusion of an explicit frame filter known as a guided filter for protecting the copyrights. The guided filter is the product of a linear model and considers the resultant image to generate the ultimate filtered output. This filter is significantly accepted for its edge-preservation and detail enhancement characteristics. Thus, the inclusion of a guided filter with the watermarking technique can efficiently confiscate the video frame noise and expresses the descriptive facets of the video object resulting in an enhanced version of the watermarked video frame. Furthermore, the said filter is considered the fastest edge-preserving filter as it exhibits a fast and fairly accurate time algorithm, in spite of the other supportive attributes like the intensity and size of the kernels. Therefore, the outcome of the investigation shows that the video watermarking approach involving wavelet transform embedded with guided filter on motion-frames of the video object is proficient and effective in a range of video watermarking application areas, including copyright protection, ownership identification, video authentication, etc.