An Improved Discrete Patch Based Reversible Data Hiding For Encoded Color Images
- 1. Associate Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, SIMATS, Chennai, India
- 2. Assistant Professor, Department of Information Technology, Rajalakshmi Engineering College, Chennai, India
Contributors
- 1. Publisher
Description
This paper proposes a system for encrypting images which is performed by patch wise separable reversible data. In the beginning, with the help of encryption key, a content writer prepares the unique uncompressed image. Then, the data-hider abridge encrypted images with least significant using data smacking key therefore to construct a sparse path that can incorporate with some additional data. The encrypted image data consisting of additional data, will aid the receiver to use only one encryption key to recall both additional data and image after decryption. The proposed system enables the receiver, to bring out the data and retrieving the actual content without an error by using both data-hiding key and encryption keys. The key generated is stored and the log is maintained. Data transmission through public communication system is unsecure due to be inaccuracy and improper exploitation by eavesdropper. The specific problem can be resolved by the technique Steganography, where the hidden messages are written in a way where it is only understood by the sender and intend recipient which gives the complete security for the messages. This proposed method includes Advanced Encryption Standard algorithm for encrypting both the image and the data. In order to achieve efficient working of encryption process, Separable Patch wise Reversible Data Hiding (SPRDH) algorithm is used in rescindable manner. The performance are analyzed using available Classical database images with the metrics Bits per Pixel (BPP). Peak Signal Noise Ratio (PSNR) and Mean Square Error (MSE).
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- Journal article: 2249-8958 (ISSN)
Subjects
- ISSN
- 2249-8958
- Retrieval Number
- A9767109119/2020©BEIESP