AN IMAGE COMPRESSION ALGORITHM WITH HIGH FIDELITY

In many fields，such as industry measuring and satellite remote sensing，it is necessary to store and transport high fidelity images．This paper advances a new algorithm，where a vector transform，which meets the optimal attributes of signal processing for vector quantization，is adopted．In addition，several sets of multi-layered codebooks and the quantization technique with dynamic bit allocation are adopted．The compression ratio of high fidelity image compression is raised well by this algorithm．It is shown in the experiment that the algorithm has higher and more stable compression ratio，stronger robustness and higher signal to noise ratio than usual．