Independent Component Analysis and Haar Transform Based Frame Level Embedding


Authors : Varsha Kandoi , Brijraj Singhawat

Volume/Issue : Volume 1 - 2016, Issue 3 - June

Google Scholar : https://goo.gl/Hi3uoK

As a method of copyright protection, digital video watermarking has recently emerged as a significant field of interest and a very active area of research. In this work the targeted semi-visible watermarking is approached using Haar Wavelet functions and Principal component analysis (PCA) based approach, the watermark or message embedded into cover image, prior to it , principal component of selected wavelet band is transformed into principal component domain. The embedding is performed in PCA domain, by means of a secret key alpha. The retrieved results from the proposed experimental setup reveals that embedding a watermark can be performed more faster and more robust than the existing methodologies.

Keywords : Harr Transform, PCA, Embedding, Extraction.

CALL FOR PAPERS


Paper Submission Last Date
30 - April - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe