Earticle

초록

영어

Nowadays, with the rapid growth in information technology more and more images and data are available on the internet. So there is a need to provide some kind of authentication to such important data. When the sender transmits the image to the receiver, there may be intruders present in between who may capture the image. After capturing the image the mage the intruder may view the meaningful content in the image. This may not be the problem in some cases. But if we consider security applications like medical and military images then such distortion is unacceptable. To avoid misuse or loss of information several reversible data hiding techniques (RDH) are implemented. This paper gives details on watermarking, LSB, Histogram and RDH using optimum Thresholding with related results.

목차

Abstract
 1. Introduction
 2. Watermarking Technique
  2.1. Algorithm to embed one watermark into other watermark
  2.2. Algorithm to embed nested watermark into cover image:
  2.3. Algorithm for Watermark Extraction
 3. Least-Significant Bit (LSB) Technique
  3.1. Data Embedding
  3.2. Data Extraction
  3.3. Image Encoding Algorithm
 4. Histogram-based Reversible Data Hiding
  4.1. Rhombus Prediction and Sorting
  4.2. Histogram Modification on Pixel Differences
 5. RDH using optimum value Transfer
  5.1. Optimal Transfer Mechanism
  5.2. Single-level-2D-DWT
 6. Conclusion
 References

키워드

저자

• S. Bhavani [ M. Tech in Digital Electronics & Communication Systems ]
• B. Raviteja [ M. Tech in Digital Electronics & Communication Systems ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605