Authorization in HSV-DWT-DCT - for Depth-Image-Based Rendering 3D Images: An Advance Study

Authors

  • P. Jeno Paul Department of Electrical and Electronics Engineering, Adishankara Institute of Engineering and Technology, Kerala, India.
  • K. A. Arun Department of Electrical and Electronics Engineering, Adishankara Institute of Engineering and Technology, Kerala, India.
  • R. Priyadarsini Narayanaguru College of Engineering, Kanyakumari District, Tamilnadu, India.
  • M. Sredevi Department of Electrical and Electronics Engineering, Adishankara Institute of Engineering and Technology, Kerala, India.

DOI:

https://doi.org/10.9734/bpi/aaer/v16/9838D

Keywords:

Blind watermarking, RGB-HSV, discrete wavelet transform, discrete cosine transform, watermark embedding algorithm, rendering process

Abstract

With the advent of low-cost 3D display devices, content protection for image-based 3D data is becoming increasingly important. The rendering is based on depth images (DIBR) One type of picture-based 3D data is the 3D picture, which is made up of the centre picture and the depth image supplied by the content provider. At the content consumer side, the left-eye picture and the right-eye picture are produced from the centre picture and the depth image. Blind watermarking for DIBR 3D images is a topic that is rarely researched in the literature. A unique blind multiple watermarking approach is suggested in this study to address the content protection problem of DIBR 3D pictures . We discovered that appropriate embedding order is significantly more crucial in watermarking DIBR 3D pictures than the standard requirement of mutual orthogonality among reference patterns for multiple water mark embedding. The suggested approach is resistant to JPEG compression and noise addition assaults, according to experimental results. More interestingly, the suggested watermarking is shown to be capable of tolerating broad range fluctuations in the depth picture during rendering.

Published

2021-06-28

How to Cite

P. Jeno Paul, K. A. Arun, R. Priyadarsini, & M. Sredevi. (2021). Authorization in HSV-DWT-DCT - for Depth-Image-Based Rendering 3D Images: An Advance Study. Advanced Aspects of Engineering Research Vol. 16, 213–223. https://doi.org/10.9734/bpi/aaer/v16/9838D