Reversible Data Hiding in Encrypted Images With Distributed Source Encoding PROJECT TITLE :Reversible Data Hiding in Encrypted Images With Distributed Source EncodingABSTRACT:This paper proposes a unique scheme of reversible information hiding in encrypted pictures using distributed source coding. After the original image is encrypted by the content owner using a stream cipher, the data-hider compresses a series of selected bits taken from the encrypted image to create space for the secret information. The selected bit series is Slepian-Wolf encoded using low-density parity check codes. On the receiver facet, the key bits will be extracted if the image receiver has the embedding key only. In case the receiver has the encryption key solely, he/she will recover the first image approximately with prime quality using an image estimation algorithm. If the receiver has both the embedding and encryption keys, he/she can extract the key information and perfectly recover the first image using the distributed source decoding. The proposed methodology outperforms the previously published ones. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Error Rate and Power Allocation Analysis of Regenerative Networks Over Generalized Fading Channels On the MDS Condition of Blaum–Bruck–Vardy Codes With Large Number Parity Columns
