An improved classified vector quantization for medical image

With the development of medical device, high quality medical image is widely used. Image compression makes it convenient for image storage and transmission. Based on classified vector quantization, an improved vector quantization compression method using structural similarity index and genetic algorithm is proposed. The proposed method is tested using public database and comparison study shows that it is efficient for medical image compression.