Image Compression Using Vector Quantization-A Survey Approach

This paper presents a survey on vector quantization for image compression which provides a means of decomposition of the signal in a manner which takes the advantage of inter and intra band correlation as more flexible partition for higher dimension vector spaces. Thus, the image is compressed with or without information loss. Since 1988, a growing body of research has examined the use of VQ for the image compression. This paper discusses about vector quantization, its principle and examples, its various techniques and image compression its advantages and applications. We present the survey on different methods of vector quantization for image compression.