Contrast Enhancement of MRI Images

The technique of modification of the histogram of an image can be applied to the problem of image enhancement. Global histogram equalization and local area histogram equalization are two well-known techniques for the same purpose. In this paper new method is proposed to enhance the contrast of bimodal MRI images using histogram specification with Gamma distribution. The method is aimed to read the original image and calculate its histogram original histogram then apply the Maximum Likelihood Gamma Distribution (MLGD) method to get an accurate statistical information of the original histogram as the means and prior probabilities of the two modes, then we separate the two modes by shift the first mode left or shift the second mode right or perform both shifts. After that we will generate a new histogram called “Desired Histogram” using the new data. By applying a histogram specification method, a high contrast image will be produced. The new method of contrast enhancement of MRI image using histogram specification with Gamma distribution has been tested and showed good results.

[1]  Yung-Sheng Chen,et al.  Automatic histogram specification based on fuzzy set operations for image enhancement , 1995, IEEE Signal Process. Lett..

[2]  Shanq-Jang Ruan,et al.  Dynamic contrast enhancement based on histogram specification , 2005, IEEE Transactions on Consumer Electronics.

[3]  H. Raafat,et al.  Direct mapping between histograms: an improved interactive image enhancement method , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.

[4]  H P DOUB THE RADIOLOGICAL SOCIETY OF NORTH AMERICA; FIFTY YEARS OF PROGRESS. , 1964, Radiology.

[5]  Bingjian Wang,et al.  A real-time contrast enhancement algorithm for infrared images based on plateau histogram , 2006 .

[6]  Abd. Rahman Ramli,et al.  Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation , 2003, IEEE Trans. Consumer Electron..

[7]  Shengrui Wang,et al.  Segmentation of SAR images , 2002, Pattern Recognit..

[8]  Zeyun Yu,et al.  A fast and adaptive method for image contrast enhancement , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..