Video compression based on the wavelet representation and multiresolution motion compensation (MRMC)has a superior performance in terms of the PSNR as well as the subjective quality.But the intensive computational consuming is the bottleneck.it is a feasible way to make an estimation by using the potential motion area(PMA) to locate the regions where motion has likely occurred before the actual motion.Considering that the final results rely heavily onthe accuracy of PMA

a new PMA predicted a lgorithm based on morphological segmentation is proposed in this paper.The wavelet representation has the advantages of spati alorientation selectivity

localization in both space (or time) and frequency.Moreover the mathematical morphology efficiently deals with geometrical features.The hierarchical morphological segmentation can make a tradeoff between the quality of the MRMC and the computational cost.Experimental results show that the proposed algorithm can reduceprocessing time significantly.Using the energy decision of displacement frame difference can make the motion detection less sensitive to noise.The morphologicalsegmentation and marking PMA in all the wavelet subimages can avoid the error propagation.