Shrinking and Hiding Data Using SMVQ and Image Interpolation

In this paper a scheme called joint data hiding and shrinking(compression) is proposed for digital images using SMVQ(side match vector quantization).both the methods of hiding text and shrinking of image is united into a individual module. On the client side, the information is hided and shrinked in sub codebook, excluding the top most and left most blocks the remaining blocks are used to embed data and compress image, vector quantization is used along with SMVQ for complicated blocks. Now  on the server side the receiver receives the image and the image is divided into multiple blocks and the receiver extracts hided data and after decompression reconstructs the original image according to the value of the index in segmented section. This proposed scheme has given a high performance in terms of hiding information, compression and decompression of digital images.