Contrast Enhancement of Medical Images Using Statistical Methods with Image Processing Concepts

This paper reports the low contrast problem of medical images. The low contrast medical images are incapable to process efficiently. This problem can be overcome by using the image processing and statistical techniques. Contrast stretching and standard logistic is used to stretch the intensity values and to adjust the contrast of the medical image. A logarithmic image processing is used to combine the features of these two techniques. To control the stretching process two parameters are measured and enhancement is processed. To enhance the medical images with better quality linear combination is applied. Finally, parameters like accuracy, PSNR and brisque are measured. This implementation gives the better results for enhanced medical images compared with other methods.