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A New Method for Human Microcirculation Image Enhancement
作者单位:Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 
基金项目:国家自然科学基金,International Seienee and Technology Cooperation Program 
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.

关 键 词:微循环  图像增殖  噪音抑制  对比度

A New Method for Human Microcirculation Image Enhancement
Authors:CHEN Yuan  ZHAO Zhi-min  LIU Lei  LI Peng
Institution:Nanfing University of Aeronautics and Astronautics, Nanfing 210016, China
Abstract: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 microcirculatory image illumination correction and con-trast 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 asso-ciated with noise coefficient and edge coefficient is established and applied to all Contour-let 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 enhance-ment methods, result showing that our method has a better effect than other enhancement methods, which might be helpful for clinical diagnostics of microcirculation.
Keywords:microcirculation  illumination correction  noise restrain  contrast en-hancement  contourlet transform
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