摘要

A medical image enhancement algorithm based on window empirical mode decomposition(WEMD) is proposed. The high frequency data (intrinsic mode function, IMF) of the medical image can be acquired auto-adaptively by WEMD algorithm. On the basis of the IMF's histogram following the normal distribution, the high frequency details of the first few IMF components will be enhanced by modifying the IMF components with a histogram matching algorithm. The enhanced image can be obtained by adding up the modified IMF components and the residual component. The results show that the proposed algorithm is efficient in image enhancement and better than other current algorithms.

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