BibTeX:

@article{IJIRSTV3I2143,
     title={Synchronously Image Size Reduction using Modified Vector Quantization with Data Hiding},
     author={Sarita S. Kamble and A. S. Deshpande},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={2},
     pages={508--510},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I2143.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

This paper represents the scheme of data hiding and image size reduction based on side match vector quantization (SMVQ). On the sender side, residual blocks of an image compressed consecutively by SMVQ. Except for the blocks in the leftmost and topmost of the image, each of the other residual blocks is embedded with secret data. As the scheme of data compression is followed by data hiding technique. The goal of technique is to reduce the size of original image and to save storage. Compressed image is output of scheme which can be decompressed to get original image. It can be reused for various applications. Experimental results demonstrate the effectiveness of the proposed scheme in terms of compression ratio.

SMVQ, DSMVQ, Vector Quantization, Search Order Coding