• POOJA DEVI
• Mrs. Chetan Rani

We proposed an efficient method of image compression by using ALO-LBG method for vector quantization. The vector quantization (VQ) is that term in which the image divided into the vector segments, and a codebook is designed with the help various methods like, coding, transformation, etc. LBG algorithm is used for the codebook selection of vector quantization (VQ). The parameter of codebook selection is PSNR. We optimize the PSNR value with ALO algorithm, which maximizes it and improves the image quality. The size of the compressed image is reduced while containing the better quality. We compare the ALO-LBG approach with previously used algorithm BAT-LBG. Every time the ALO-LBG algorithm provided the better PSNR and compression ratio, which improved the quality of compressed image then the BAT-LBG

ALO, LBG, Vector quantization, Image Compression etc.

"Medical Image compression using vector quantization with ALO-LBG approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.865-871, June 2019, Available :http://www.jetir.org/papers/JETIR1906U16.pdf

"Medical Image compression using vector quantization with ALO-LBG approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp865-871, June 2019, Available at : http://www.jetir.org/papers/JETIR1906U16.pdf