Abstract: Context modeling is widely used in image coding to improve the compression performance.However, with no special treatment, the expected compression gain will be cancelled by the model cost introduced by high order context models.Context quantization is an efficient method to deal with this problem.The general context quantization problem is analyzed in detail and showed that context quantization is similar to a common vector quantizer can be designed by a Lloyd style iterative algorithm.