Advanced Side-Match Vector Quantization and Image Inpainting Used For Data Hiding and Compression
Yashasri Y. Satpute, Niranjan Pardeshi · 2015
Two different techniques of side-match vector quantization and image inpainting are proposed for compressing and then concealing the secret data. The process of covering up the data includes hiding the private or secret data which could be in the form of an image, or an audio or video. The two techniques of compression and hiding are combined as a specific module. At the sender’s side, all the blocks except in the uppermost row and the leftmost column, are embedded with some secret data and are compressed simultaneously. This is done by either SMVQ or image inpainting and an indicator bit 1 is appended to it. The blocks in the topmost row and the leftmost column are considered as the complex blocks and are compressed using the vector quantization (VQ) and an indicator bit 0 is appended to it. The indicator bits are used for segmenting the compressed blocks into sections. Based on the index value of each segmented section, extraction of secret bits and the decompression of the image can be done at the receiver side.