Review Papers | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014
A Review on Histogram Shifting for Reversible Watermarking Technique
Naina Gaharwar, Dr. Reena Gunjan
Abstract: As there is rapid growth in Internet technology, Information can be exchanged fastly and easily over web. This include images, videos, documents etc. This information needs to be protected, to protect this various techniques were developed. Reversible Watermarking is one of the technique to protect images of sensitive contents. In the field of watermarking lot of researches is taking place to establish more efficient reversible techniques. The existing system suffers from undesirable distortion which is unsuitable or less reliable. To improve the quality of the watermarked image a combination of two techniques pixel histogram shifting (PHS) and dynamic predictive error histogram shifting (DPEHS) are introduced. In this method the image is classified for finding watermark region and then watermark bits are applied by direct histogram shifting or by shifting it dynamically.
Keywords: Histograms, Applications of histograms, Sliding histograms, Histogram shifting,
Edition: Volume 3 Issue 12, December 2014,
Pages: 584 - 586
How to Cite this Article?
Naina Gaharwar, Dr. Reena Gunjan, "A Review on Histogram Shifting for Reversible Watermarking Technique", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB14366, Volume 3 Issue 12, December 2014, 584 - 586
How to Share this Article?
Similar Articles with Keyword 'Histograms'
Comparison of Video Shot Detection and Video Summarization Techniques
Vijay Kumar D, Santhosh Kumar K.L, Jharna Majumdar
N-Gram Analysis in SVM Training Phase Reduction Using Dataset Feature Filtering for Malware Detection
Pagidimarri Venu, Dasu Vaman Ravi Prasad
Similar Articles with Keyword 'Histogram shifting'
Integrated Data Hiding and Lossless Image Compression based on SMVQ and Image Inpainting
Sandeep Kumar, Nidhi Garg
Reversible Watermarking using Histogram Shifting and Pixel Differences with Inverse S-scan order and Local Prediction
Naseera P. A