Self-adaptive image enhancement method based on extended Beta function
基于广义Beta函数的图像自适应增强方法*

Aiming at the shortcoming of image enhancement method based on traditional function when applied in the sketching of dark area, bright area and areas at both ends as well as the compressing of centre area, this paper presented a novel histogram transforming function, i.e. extended Beta function, by introducing enhancement operator and new shape-controlling parameters. On this basis, put forward the selection mechanism of enhancement operator of extended Beta, and established the self-adaptive selection model of the new shape-controlling parameters. The experimental results show that the contrast of image is improved as well as the details of image is retained by the presented method with obviously better performance than traditio-nal Beta function.