Vector Quantization is an essential and fundamental technique for lossy image compression. Codebook generation is very important influence in Vector Quantization (VQ).The objective of this research is to create a new inventive Algorithm which can be used to take input image in bits and apply Haar transform to input image to create codebook for Vector Quantization. The new system in this research is used to create codebook based on MSE of input sequences which gives the better quality of image. The codebook generated will be more efficient for low frequency image.If the image size is too large then retrieval time is more so will used Fast Search algorithm can be used to reduce time and used to obtain PSNR with less mean square error (MSE).
Sneha Rahul Mhatre et.al," Image Compression using Vector Quantization based on MSE Approach”, International Journal of Computer Engineering In Research Trends, Volume 3, Issue 7, July-2016, pp. 366-370
We have kept IJCERT is a free peer-reviewed scientific journal to endorse conservation. We have not put up a paywall to readers, and we do not charge for publishing. But running a monthly journal costs is a lot. While we do have some associates, we still need support to keep the journal flourishing. If our readers help fund it, our future will be more secure.