A Novel Joint Data Hiding and Compression Scheme Based on SMVQ and Image In-Painting

Abstract

In order to guarantee communication efficiency and save network bandwidth, compression techniques can be implemented on digital content to reduce redundancy, and the quality of the decompressed versions should also be preserved. The two functions of data hiding and image compression can be integrated into one single module, which can avoid the risk of the attack from interceptors and increase the implementation efficiency. On the sender side, the blocks in the leftmost and topmost of the image are compressed by main code book, each of the other residual blocks in raster-scanning order can be embedded with secret data and compressed simultaneously by SMVQ according to the current embedding bit. SMVQ is developing to reduce the block artifact of the decompressed image and increase compression ratio, because the correlation of the neighboring block is consider and the indices of the sub code books are stored. After segmenting the image compressed codes into a series of sections by the indicator bits, the receiver can achieve the extraction of secret bits and image decompression successfully according to the index values in then segmented sections. On the receiver side image edge based harmonic in painting is used for reconstructing lost or deteriorated parts of images. The proposed scheme shows the performances for compression ratio and Better Peak Signal to noise Ratio (PSNR).