• CIBI CASTRO

Digital Image compression is used to compresses and reduces the size of image with various algorithms and Standards. This paper proposed new vector quantization technique for lossy image compression. Vector quantization (VQ) is an approach that encodes a block of pixels with an index pointing to a similar block in a VQ codebook. To improve the visual quality of VQ, SMVQ (Side match vector quantization) used. SMVQ is one of the low bit rate scheme, it requires high encoding time than that of VQ. A proposed Modified Side Match Vector Quantization(MSMVQ) has introduced. MSMVQ is a powerful low bit rate image compression scheme based on VQ. It combines indicies of VQ and residual code book. MSMVQ attains low bit rate and better image quality than SMVQ and other VQ techniques.

VQ, SMVQ, MSMVQ

"Efficient Lossy Image Compression Scheme using Modified Side Match Vector Quantization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.84-87, December-2018, Available :http://www.jetir.org/papers/JETIR1812B14.pdf

"Efficient Lossy Image Compression Scheme using Modified Side Match Vector Quantization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp84-87, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B14.pdf