Region of Interest Based Compression of Medical Images Using Vector Quantization
M. Mary Shanthi Rani, P. Chitra · International Journal of Computational Science and Information Technology · 2016
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.