REVERSIBEL DATA HIDING WITH IMAGE ENHANCEMENT USING CNN
Author(s):
H. Keerthana, V.Annapurna
Keywords:
Reversible Data Hiding, Retrieval, Image Processing, Embedding & Extraction, Convolutional Neural Networks, Deep Learning, Watermarking.
Abstract
Reversible Data Hiding (RDH) methods have acquired notoriety throughout the most recent twenty years, where information is installed in an image so the first image can be restored. There are so many existing works performed on Reversible Data Hiding. However, this method will produce low quality metrics (PSNR) and data is not secured. As a result of the drawbacks of previous methods, we will propose a watermarking algorithm based on CNN and deep learning algorithms, in which the CNN produces strong inherent image features, which are then combined with the proprietor's watermark succession applying "XOR" activity. The inherent features are generated from input image and the hidden image (binary pattern) is combined with those inherent features by XOR operation. It is secured by a secret key (password) and gives better quality performance (PSNR)
Article Details
Unique Paper ID: 153702

Publication Volume & Issue: Volume 8, Issue 8

Page(s): 362 - 367
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