中文摘要：

Microcirculation 图象经常在获得进程有不平的照明和低对比，它影响图象重组和后面的过程。这份报纸基于 Contourlet 变换为 microcirculatory 图象照明修正和对比改进论述一个新方法。开始，图象照明模型被 Contourlet 变换提取然后不平的照明被改正。下次，形成对照以便制止噪音并且提高图象，与噪音系数联系的概率功能和边系数被建立并且适用于所有轮廓让系数。然后，一个非线性的改进函数被用于修改 Contourlet 系数适应地提高图象对比。最后，提高的图象被反的 Contourlet 变换获得。我们把这条途径与另外的对比改进方法作比较，结果证明我们的方法比另外的改进方法有更好的效果，它可能对 microcirculation 的临床的诊断有用。

英文摘要：

Microcirculation images often have uneven illumination and low contrast in the acquisition process, which affect the image reorganization and following process. This paper presents a new method for microcireulatory image illumination correction and contrast enhancement based on the Contourlet transform. Initially, the image illumination model is extracted by Contourlet transform and then uneven illumination is corrected. Next, in order to restrain noise and enhance image contrast, the probability function associated with noise coefficient and edge coefficient is established and applied to all Contourlet coefficients. Then, a nonlinear enhancement function is applied to modified Contourlet coefficient to adaptively enhance image contrast. Finally, the enhanced image is obtained by inverse Contourlet transform. We compare this approach with other contrast enhancement methods, result showing that our method has a better effect than other enhancement methods, which might be helpful for clinical diagnostics of microcirculation.