Research on Image Enhancement Algorithms of Medical Images Based on Quantum Probability Statistics
Yangguang Sun · Dianzi xuebao · 2010
Traditional image enhancement algorithms are sensitive to the noise and can easily fall into a sub or over enhancement for medical images.In this paper,two different mathematics expressions of pixel quantum bit are given first according to the basic principle of quantum signal processing.Then,aiming at the characteristics of medical images and combining with gray correlative characteristics of pixels in 3×3 neighborhoods,a medical image enhancement operator is proposed based on quantum probability statistics.In order to optimize the effect of image enhancement,the gray threshold parameter of the operator is adaptively chosen based on the sub-sampling image entropy.Using subjective and objective evaluation,experimental results demonstrated that our method considered both global and local image information and can improve medical images quality effectively.