Publication Type : Journal
Source : Computational Science and Information Technology
Campus : Coimbatore
School : School of Artificial Intelligence
Center : Center for Computational Engineering and Networking
Year : 2016
Abstract : In this paper, a Region of Interest(ROI) based compression method is proposed using Vector Quantization(VQ) to enhance the image quality for efficient transmission and storage. Vector quantization is an effective lossy compression method to compress an image with good quality.. Telemedicine, which is gaining more significance recently, requires massive data transmission between various locations in short duration. The proposed method mainly focuses on compressing medical images with different codebook sizes for region of interest and non region of interest using vector quantization method .The proposed method achieves high compression ratio without compromising the quality of reconstructed ROI image.
Cite this Research Publication : Rani, M. Mary Shanthi, and P. Chitra. "MEDICAL IMAGES USING VECTOR QUANTIZATION."